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Dissertations / Theses on the topic 'Object Based Image Analysis (OBIA)'

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Published: 4 June 2021

Last updated: 25 July 2025

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1

Ortega-García, José Antonio. "Forest stand delineation through remote sensing and Object-Based Image Analysis." Thesis, Högskolan i Gävle, Samhällsbyggnad, GIS, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-28005.

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Forest stand delineation is an essential task of forest management planning which can be time consuming and exposed to subjectivity. The increasing availability of LiDAR data and multispectral imagery offers an opportunity to improve stand delineation by means of remotely-sensed data. Under these premises, ASTER imagery and low-density LiDAR data have been used to automatically delineate forest stands in several forests of Navarra (Spain) through Object-Based Image Analysis (OBIA). Canopy cover, mean height and the canopy model have been extracted from LiDAR data and, along with VNIR ASTER ban

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Chima, C. I. "Monitoring and modelling of urban land use in Abuja Nigeria, using geospatial information technologies." Thesis, Coventry University, 2012. http://curve.coventry.ac.uk/open/items/286e264c-3d26-4448-8049-6f2ef3fda727/1.

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This thesis addresses three research gaps in published literature. These are, the absence of Object Based Image Analysis (OBIA) methods for urban Land Use and Land Cover (LULC) analysis in Nigeria; the inability to use Nigeriasat-1 satellite data for urban LULC analysis and monitoring urban growth in Nigeria with Shannon’s Entropy Index. Using Abuja as a case study, this research investigated the nature of land use/land cover change (LULCC). Specific objectives were: design of an object based classification method to extract urban LULC; validate a method to extract LULC in developing countries

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Inomata, Takeshi, Flory Pinzón, José Luis Ranchos, et al. "Archaeological Application of Airborne LiDAR with Object-Based Vegetation Classification and Visualization Techniques at the Lowland Maya Site of Ceibal, Guatemala." MDPI AG, 2017. http://hdl.handle.net/10150/624959.

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The successful analysis of LiDAR data for archaeological research requires an evaluation of effects of different vegetation types and the use of adequate visualization techniques for the identification of archaeological features. The Ceibal-Petexbatun Archaeological Project conducted a LiDAR survey of an area of 20 x 20 km around the Maya site of Ceibal, Guatemala, which comprises diverse vegetation classes, including rainforest, secondary vegetation, agricultural fields, and pastures. We developed a classification of vegetation through object-based image analysis (OBIA), primarily using LiDAR

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Pedrassoli, Júlio César. "Análise orientada a objeto para detecção de favelas e classificação do uso do solo em Taboão da Serra/SP." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/8/8135/tde-03052012-085635/.

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O crescimento acelerado das cidades e os reflexos desse aumento das populações urbanas é preocupação constante na atualidade. Nesse processo, o surgimento de ocupações precárias, especialmente nas regiões metropolitanas, torna-se uma das características mais explicitas, caracterizando a própria lógica de ocupação, uso e direito desigual ao território. O monitoramento dessas áreas, sua formação e expansão, são uma necessidade crescente, em diversos locais no mundo, visto que a inclusão dessas áreas à cidade formal é tido como gatilho para a melhoria das condições de vida de mais de 100 milhões

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Magnini, Luigi. "Remote sensing e object-based image analysis: metodologie di approccio per la creazione di standard archeologici." Doctoral thesis, Università degli studi di Padova, 2017. http://hdl.handle.net/11577/3423260.

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In recent years, the field of remote sensing experienced an incredible growth thanks to the increasing quality and variety of sensors and the reduction of instrumental costs. The benefits for archaeology were soon apparent. So far, data interpretation remains essentially a prerogative of the human operator and is mediated by his skills and experiences. The continuous increase of datasets volume, i.e. the Big Data Explosion, and the increasing necessity to work on large scale projects require an overall revision of the methods traditionally used in archeology. In this sense, the research prese

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Martinová, Olga. "Extrakce krajinných prvků z dat dálkového průzkumu." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2013. http://www.nusl.cz/ntk/nusl-226365.

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In this thesis, an approach to automatically derive information about land cover from the remotely sensed data is presented. The data interpretation was done with classification process and performed in software eCognition Developer. The Object-based image analysis, which assignes the classes - for example land cover types, to clusters of pixels (=objects), was used. For the classification, products of two different data sources were combined - the orthophotos generated from aerial imagery and Normalized Digital surface model derived from LiDAR data. Five types of landscape elements were ident

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Lübker, Tillmann. "Object-based remote sensing for modelling scenarios of rural livelihoods in the highly structured farmland surrounding Kakamega Forest, western Kenya." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-150628.

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This thesis analyses the highly structured and densely populated farmland surrounding Kakamega Forest (western Kenya) in a spatially-explicit manner. The interdisciplinary approach combines methodologies and technologies from different scientific disciplines: remote sensing with OBIA, GIS and spatially explicit modelling (geomatics and geographic science) with socio-economic as well as agro-economic considerations (human and social sciences) as well as cartographic science. Furthermore, the research is related to conservation biology (biological sciences). Based on an in-situ ground truthing a

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Marpu, Prashanth Reddy. "Geographic object-based image analysis." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola&quot, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:105-5519610.

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The field of earth observation (EO) has seen tremendous development over recent time owing to the increasing quality of the sensor technology and the increasing number of operational satellites launched by several space organizations and companies around the world. Traditionally, the satellite data is analyzed by only considering the spectral characteristics measured at a pixel. The spatial relations and context were often ignored. With the advent of very high resolution satellite sensors providing a spatial resolution of ≤ 5m, the shortfalls of traditional pixel-based image processing techniq

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Turcat, Jean-Philippe. "Object-based content representation and analysis for image retrieval." Thesis, Staffordshire University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394142.

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Volotão, Carlos Frederico de Sá. "Image segmentation using IHS space and object-based analysis." Instituto Nacional de Pesquisas Espaciais (INPE), 2013. http://urlib.net/sid.inpe.br/mtc-m19/2013/01.21.22.42.

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A segmentação é um procedimento importante na análise de imagens de sensoriamento remoto, que divide uma imagem em partes com propriedades uniformes e muda a menor unidade de uma imagem de pixel para segmento. Alguns fatores produzem resultados indesejados na segmentação de imagens de sensoriamento remoto e um desses fatores é a existência de sombras na cena. A iluminação afeta a segmentação de imagens porque as variações na iluminação da cena modificam os valores de pixel em todas as bandas espectrais. A concentração das informações de intensidade do sinal detectado em um canal minimiza os ef

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Li, Yi. "Object and concept recognition for content-based image retrieval /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/7006.

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Stals, Jacobus Petrus. "Mapping potential soil salinization using rule based object-oriented image analysis." Thesis, Stellenbosch : University of Stellenbosch, 2007. http://hdl.handle.net/10019.1/2371.

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Thesis (MSc (Geography and Environmental Studies))--University of Stellenbosch, 2007.<br>Soil salinization is a world wide environmental problem affecting plant growth and agricultural yields. Remote sensing has been used as a tool to detect and/or manage soil salinity. Object-oriented image analysis is a relatively new image analysis technique which allows analysis at different hierarchical scales, the use of relationships between objects and contextual information in the classification process, and the ability to create a rule based classification procedure. The Lower Orange River in So

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Asif, Muhammad Daud Abdullah. "Texture Patterns for Object Recognition and Content-Based Color Image Retrieval." Thesis, Griffith University, 2020. http://hdl.handle.net/10072/400467.

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The recent advances in image capturing devices and their extensive use in real life scenarios have led to an increased availability of digital images on the internet. Efficient and effective image browsing and searching methods are required to retrieve and classify images in many fields such as computer vision, machine learning, pattern recognition, image processing, and signal processing etc. These fields specifically demand accurate and robust algorithms which can be used with vastly available computer systems and which are less time consuming. Over the past decade, significant attention has

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Dulin, Mike W. "Identifying and assessing windbreaks in Ford County, Kansas using object-based image analysis." Thesis, Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1517.

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Mühlfellner, Peter. "Selection, Analysis and Implementationof Image-based Feature Extraction Approaches for a Heterogenous, Modular and FPGA-based Architecture for Camera-based Driver Assistance Systems." Thesis, Högskolan i Halmstad, Intelligenta system (IS-lab), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-16377.

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We propose a scalable and fexible hardware architecture for the extraction of image features, used in conjunction with an attentional cascade classifier for appearance-based object detection. Individual feature processors calculate feature-values in parallel, using parameter-sets and image data that is distributed via BRAM buffers. This approach can provide high utilization- and throughput-rates for a cascade classifier. Unlike previous hardware implementations, we are able to flexibly assign feature processors to either work on a single- or multiple image windows in parallel, depending on the

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Korzeniowska, Karolina [Verfasser], and Oliver [Akademischer Betreuer] Korup. "Object-based image analysis for detecting landforms diagnostic of natural hazards / Karolina Korzeniowska ; Betreuer: Oliver Korup." Potsdam : Universität Potsdam, 2017. http://d-nb.info/1218402792/34.

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Nie, Qiong. "Cumulative methods for image based driver assistance systems : applications to egomotion estimation, motion analysis and object detection." Thesis, Paris 11, 2015. http://www.theses.fr/2015PA112095/document.

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La thèse porte sur la détection d’objets à partir d’une caméra embarquée sur un véhicule mobile en exploitant l’approche monoculaire « c-vélocité ». Cette méthode s’inspire de la méthode appelée « v-disparité » utilisée en stéréovision : toutes deux ont pour objectif la détection d’objets en les approximant par des plans d’orientations différentes, ce qui permet d’éviter, en monoculaire, d’estimer la profondeur. Ces deux approches, monoculaires et binoculaires, permettent de transformer le problème complexe de la détection d’objets en un problème plus simple de détection de formes paramétrique

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Hulet, April. "An Object-Based Image Analysis of Treated and Untreated Pinyon and Juniper Woodlands Across the Great Basin." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3406.

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Land managers need to rapidly assess vegetation composition and bare ground to effectively evaluate, manage, and restore shrub steppe communities that have been encroached by pinyon and juniper (P-J) trees. A major part of this process is assessing where to apply mechanical and prescribed fire treatments to reduce fuel loads and maintain or restore sagebrush steppe rangelands. Geospatial technologies, particularly remote sensing, offers an efficient option to assess rangelands across multiple spatial scales while reducing the need for ground-based sampling measurements. High-spatial resolution

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Viksten, Fredrik. "Local Features for Range and Vision-Based Robotic Automation." Doctoral thesis, Linköpings universitet, Informationskodning, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57333.

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Robotic automation has been a part of state-of-the-art manufacturing for many decades. Robotic manipulators are used for such tasks as welding, painting, pick and place tasks etc. Robotic manipulators are quite flexible and adaptable to new tasks, but a typical robot-based production cell requires extensive specification of the robot motion and construction of tools and fixtures for material handling. This incurs a large effort both in time and monetary expenses. The task of a vision system in this setting is to simplify the control and guidance of the robot and to reduce the need for supporti

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Kutz, Kain Markus. "Inclusion of Gabor textural transformations and hierarchical structures within an object based analysis of a riparian landscape." Thesis, University of Iowa, 2018. https://ir.uiowa.edu/etd/6167.

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Land cover mapping is an important part of resource management, planning, and economic predictions. Improvements in remote sensing, machine learning, image processing, and object based image analysis (OBIA) has made the process of identifying land cover types increasingly faster and reliable but these advances are unable to utilize the amount of information encompassed within ultra-high (sub-meter) resolution imagery. Previously, users have typically reduced the resolution of imagery in an attempt to more closely represent the interpretation or object scale in an image and rid the image of any

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Fourie, Christoffel Ettienne [Verfasser], Sören [Akademischer Betreuer] Hese, and Feitosa [Akademischer Betreuer] Raul. "Sample supervised search centric approaches in geographic object-based image analysis / Christoffel Ettienne Fourie. Gutachter: Sören Hese ; Feitosa Raul." Jena : Thüringer Universitäts- und Landesbibliothek Jena, 2015. http://d-nb.info/1080521976/34.

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Fourie, Christoffel [Verfasser], Sören [Akademischer Betreuer] Hese, and Feitosa [Akademischer Betreuer] Raul. "Sample supervised search centric approaches in geographic object-based image analysis / Christoffel Ettienne Fourie. Gutachter: Sören Hese ; Feitosa Raul." Jena : Thüringer Universitäts- und Landesbibliothek Jena, 2015. http://d-nb.info/1080521976/34.

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Slobodan, Dražić. "Shape Based Methods for Quantification and Comparison of Object Properties from Their Digital Image Representations." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2019. https://www.cris.uns.ac.rs/record.jsf?recordId=107871&source=NDLTD&language=en.

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The thesis investigates development, improvement and evaluation of methods for quantitative characterization of objects from their digital images and similarity measurements between digital images. Methods for quantitative characterization of objects from their digital images are increasingly used in applications in which error can have crtical consequences, but the traditional methods for shape quantification are of low precision and accuracy. In the thesis is shown that the coverage of a pixel by a shape can be used to highly improve the accuracy and precision of using digital images to esti

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Mahmoud, El-Abbas Mustafa Mustafa. "Assessing, monitoring and mapping forest resources in the Blue Nile Region of Sudan using an object-based image analysis approach." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-161511.

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Following the hierarchical nature of forest resource management, the present work focuses on the natural forest cover at various abstraction levels of details, i.e. categorical land use/land cover (LU/LC) level and a continuous empirical estimation of local operational level. As no single sensor presently covers absolutely all the requirements of the entire levels of forest resource assessment, multisource imagery (i.e. RapidEye, TERRA ASTER and LANDSAT TM), in addition to other data and knowledge have been examined. To deal with this structure, an object-based image analysis (OBIA) approach h

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Hast, Isak, and Asmelash Mehari. "Automating Geographic Object-Based Image Analysis and Assessing the Methods Transferability : A Case Study Using High Resolution Geografiska SverigedataTM Orthophotos." Thesis, Högskolan i Gävle, Samhällsbyggnad, GIS, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-22570.

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Geographic object-based image analysis (GEOBIA) is an innovative image classification technique that treats spatial features in an image as objects, rather than as pixels; thus resembling closer to that of human perception of the geographic space. However, the process of a GEOBIA application allows for multiple interpretations. Particularly sensitive parts of the process include image segmentation and training data selection. The multiresolution segmentation algorithm (MSA) is commonly applied. The performance of segmentation depends primarily on the algorithms scale parameter, since scale con

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Johansen, Richard A. "An Automated Approach to Agricultural Tile Drain Detection and Extraction Utilizing High Resolution Aerial Imagery and Object-Based Image Analysis." University of Toledo / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1429280225.

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Palm, Fredrik. "Urban Vegetation Mapping Using Remote Sensing Techniques : A Comparison of Methods." Thesis, Stockholms universitet, Institutionen för naturgeografi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-117108.

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The aim of this study is to compare remote sensing methods in the context of a vegetation mapping of an urban environment. The methods used was (1) a traditional per-pixel based method; maximum likelihood supervised classification (ENVI), (2) a standard object based method; example based feature extraction (ENVI) and (3) a newly developed method; Window Independent Contextual Segmentation (WICS) (Choros Cognition). A four-band SPOT5 image with a pixel size of 10x10m was used for the classifications. A validation data-set was created using a ortho corrected aerial image with a pixel size of 1x1

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Dey, Vivek. "A Supervised Approach For The Estimation Of Parameters Of Multiresolution Segementation And Its Application In Building Feature Extraction From VHR Imagery." Thesis, Fredericton: University of New Brunswick, 2011. http://hdl.handle.net/1882/35388.

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With the advent of very high spatial resolution (VHR) satellite, spatial details within the image scene have increased considerably. This led to the development of object-based image analysis (OBIA) for the analysis of VHR satellite images. Image segmentation is the fundamental step for OBIA. However, a large number of techniques exist for RS image segmentation. To identify the best ones for VHR imagery, a comprehensive literature review on image segmentation is performed. Based on that review, it is found that the multiresolution segmentation, as implemented in the commercial software eCognit

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Li, Zhengrong. "Aerial image analysis using spiking neural networks with application to power line corridor monitoring." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/46161/1/Zhengrong_Li_Thesis.pdf.

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Trees, shrubs and other vegetation are of continued importance to the environment and our daily life. They provide shade around our roads and houses, offer a habitat for birds and wildlife, and absorb air pollutants. However, vegetation touching power lines is a risk to public safety and the environment, and one of the main causes of power supply problems. Vegetation management, which includes tree trimming and vegetation control, is a significant cost component of the maintenance of electrical infrastructure. For example, Ergon Energy, the Australia’s largest geographic footprint energy distr

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Schwier, Michael [Verfasser], Horst Karl [Akademischer Betreuer] [Gutachter] Hahn, Herbert [Gutachter] Jaeger, and Gitta [Gutachter] Domik-Kienegger. "Object-based Image Analysis for Detection and Segmentation Tasks in Biomedical Imaging / Michael Schwier. Betreuer: Horst Karl Hahn. Gutachter: Horst Karl Hahn ; Herbert Jaeger ; Gitta Domik-Kienegger." Bremen : IRC-Library, Information Resource Center der Jacobs University Bremen, 2016. http://d-nb.info/1111884501/34.

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Myburgh, Gerhard. "The impact of training set size and feature dimensionality on supervised object-based classification : a comparison of three classifiers." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/71655.

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Thesis (MSc)--Stellenbosch University, 2012.<br>ENGLISH ABSTRACT: Supervised classifiers are commonly used in remote sensing to extract land cover information. They are, however, limited in their ability to cost-effectively produce sufficiently accurate land cover maps. Various factors affect the accuracy of supervised classifiers. Notably, the number of available training samples is known to significantly influence classifier performance and to obtain a sufficient number of samples is not always practical. The support vector machine (SVM) does perform well with a limited number of traini

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Stammler, Melanie. "Investigating Sand Dune Location, Orientation and Geomorphometry Through GEOBIA-Based Mapping: A Case Study in Northern Sweden." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-424975.

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Climate change has repeatedly been framed as the defining issue of the Anthropocene and with the Arctic changing at unpreceded speed need is high for a profound understanding of the Northern Swedish landscape. Northern Swedish aeolian sand dunes have been impacted by climatic changes throughout time. Their location, orientation and geomorphometry can therefore be used to explore past wind patterns and dune activity. By systematically and spatially mapping the dunes, patterns in location can be illustrated, dune orientations investigated, the dunes’ geomorphometry characterised and sediment sou

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Nasonova, Sasha. "Estimating Arctic sea ice melt pond fraction and assessing ice type separability during advanced melt." Thesis, Remote Sensing, 2017. https://dspace.library.uvic.ca//handle/1828/9313.

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Arctic sea ice is rapidly declining in extent, thickness, volume and age, with the majority of the decline in extent observed at the end of the melt season. Advanced melt is a thermodynamic regime and is characterized by the formation of melt ponds on the sea ice surface, which have a lower surface albedo (0.2-0.4) than the surrounding ice (0.5-0.7) allowing more shortwave radiation to enter the system. The loss of multiyear ice (MYI) may have a profound impact on the energy balance of the system because melt ponds on first-year ice (FYI) comprise up to 70% of the ice surface during advanced m

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Ruiz, Luis Fernando Chimelo. "Uma abordagem de classificação da cobertura da terra em imagens obtidas por veículo aéreo não tripulado." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/111857.

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Câmaras não métricas acopladas a Veículos Aéreos Não Tripulados (VANT) possibilitam coleta de imagens com alta resolução espacial e temporal. Além disso, o custo de operação e manutenção desses equipamentos são reduzidos. A classificação da cobertura da terra por meio dessas imagens são dificultadas devido à alta variabilidade espectral dos alvos e ao grande volume de dados gerados. Esses contratempos são contornados utilizando Análise de Imagens Baseada em Objetos (Object-Based Image Analysis – OBIA) e algoritmos de mineração de dados. Um algoritmo empregado na OBIA são as Árvores de Decisão

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Roundy, Darrell B. "Estimating Pinyon and Juniper Cover Across Utah Using NAIP Imagery." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5575.

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Expansion of Pinus L. (pinyon) and Juniperus L. (juniper) (P-J) trees into sagebrush (Artemisia L.) steppe communities can lead to negative effects on hydrology, loss of wildlife habitat, and a decrease in desirable understory vegetation. Tree reduction treatments are often implemented to mitigate these negative effects. In order to prioritize and effectively plan these treatments, rapid, accurate, and inexpensive methods are needed to estimate tree canopy cover at the landscape scale. We used object based image analysis (OBIA) software (Feature AnalystTM for ArcMap 10.1®, ENVI Feature Extra

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Salim, Aline. "Caracterização do uso da terra em periferias urbanas utilizando geotecnologias: bacia do Reservatório Guarapiranga." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/8/8135/tde-05112013-105350/.

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O estudo das cidades requer um olhar amplo, capaz de identificar e relacionar os inúmeros processos que atuam na produção do espaço urbano. Geotecnologias comumente são utilizadas para adquirir informação detalhada da cobertura da terra do espaço urbano. Neste contexto, o objetivo desta pesquisa é a proposição de metodologia para geração de informações da ocupação urbana nas periferias, definindo procedimentos para análise urbana que gere informações sobre as características da ocupação urbana, a partir de imagens de satélite de alta resolução espacial. Para tanto, foi escolhida como área de e

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Mahmoud, El-Abbas Mustafa Mustafa [Verfasser], Elmar [Akademischer Betreuer] Csaplovics, Elsiddig Elnour [Akademischer Betreuer] Abdalla, and Hannelore [Akademischer Betreuer] Kusserow. "Assessing, monitoring and mapping forest resources in the Blue Nile Region of Sudan using an object-based image analysis approach / Mustafa Mahmoud El-Abbas Mustafa. Gutachter: Elmar Csaplovics ; Elnour Abdalla Elsiddig ; Hannelore Kusserow. Betreuer: Elmar Csaplovics." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://d-nb.info/1069096466/34.

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Leão, Junior Emerson [UNESP]. "Análise da qualidade da informação produzida por classificação baseada em orientação a objeto e SVM visando a estimativa do volume do reservatório Jaguari-Jacareí." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/152234.

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Menezes, Diego Pinheiro de. "Regeneração florestal após desmatamento: estudo da região de Santarém, Pará, Brasil." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/100/100136/tde-15052017-220805/.

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A superfície da terra foi modificada nos últimos 50 anos mais do que em qualquer outro período da História, mais intensa e rápida nos trópicos pela expansão das frentes de ocupação humana sobre floresta madura. A Amazônia brasileira, caracterizada pela alternância de ciclos econômicos extrativistas, exemplifica esse processo. Entre o abandono de áreas degradadas e a abertura de novas frentes de ocupação, ocorre a regeneração florestal. A floresta secundária tem uma reconhecida importância para o restabelecimento das funções dos ecossistemas e dos estoques de nutrientes perdidos da floresta mad

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Richards, Mark Andrew. "An intuitive motion-based input model for mobile devices." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16556/.

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Traditional methods of input on mobile devices are cumbersome and difficult to use. Devices have become smaller, while their operating systems have become more complex, to the extent that they are approaching the level of functionality found on desktop computer operating systems. The buttons and toggle-sticks currently employed by mobile devices are a relatively poor replacement for the keyboard and mouse style user interfaces used on their desktop computer counterparts. For example, when looking at a screen image on a device, we should be able to move the device to the left to indicate we

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Richards, Mark Andrew. "An intuitive motion-based input model for mobile devices." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16556/1/Mark_Richards_Thesis.pdf.

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Traditional methods of input on mobile devices are cumbersome and difficult to use. Devices have become smaller, while their operating systems have become more complex, to the extent that they are approaching the level of functionality found on desktop computer operating systems. The buttons and toggle-sticks currently employed by mobile devices are a relatively poor replacement for the keyboard and mouse style user interfaces used on their desktop computer counterparts. For example, when looking at a screen image on a device, we should be able to move the device to the left to indicate we

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Araujo, Agnes Silva de. "Cobertura da terra intraurbana para inferências sobre a qualidade de vida na cidade de Marília/SP." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/8/8135/tde-11042016-125248/.

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O entendimento do espaço intraurbano das cidades requer a observação, identificação e compreensão da relação de padrões e formas espaciais para o desvendamento de seus conteúdos e compreensão dos processos que atuam na produção e reprodução do mesmo. Mapas temáticos de cobertura e uso da terra e de índices e indicadores sociais comumente são utilizados para adquirir informação sobre os padrões existentes na cidade, uma vez que são fontes de dados para a elaboração de diagnósticos, ordenamento e gestão dos territórios. Esta pesquisa tem como objetivo correlacionar à classificação de cobertura d

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Li, Yunming. "Machine vision algorithms for mining equipment automation." Thesis, Queensland University of Technology, 2000.

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Rougier, Simon. "Apport des images satellites à très haute résolution spatiale couplées à des données géographiques multi-sources pour l’analyse des espaces urbains." Thesis, Strasbourg, 2016. http://www.theses.fr/2016STRAH019/document.

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Les villes sont confrontées à de nombreuses problématiques environnementales. Leurs gestionnaires ont besoin d'outils et d'une bonne connaissance de leur territoire. Un objectif est de mieux comprendre comment s'articulent les trames grise et verte pour les analyser et les représenter. Il s'agit aussi de proposer une méthodologie pour cartographier la structure urbaine à l'échelle des tissus en tenant compte de ces trames. Les bases de données existantes ne cartographient pas la végétation de manière exhaustive. Ainsi la première étape est d'extraire la végétation arborée et herbacée à partir

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Rougier, Simon. "Apport des images satellites à très haute résolution spatiale couplées à des données géographiques multi-sources pour l’analyse des espaces urbains." Electronic Thesis or Diss., Strasbourg, 2016. http://www.theses.fr/2016STRAH019.

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Les villes sont confrontées à de nombreuses problématiques environnementales. Leurs gestionnaires ont besoin d'outils et d'une bonne connaissance de leur territoire. Un objectif est de mieux comprendre comment s'articulent les trames grise et verte pour les analyser et les représenter. Il s'agit aussi de proposer une méthodologie pour cartographier la structure urbaine à l'échelle des tissus en tenant compte de ces trames. Les bases de données existantes ne cartographient pas la végétation de manière exhaustive. Ainsi la première étape est d'extraire la végétation arborée et herbacée à partir

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Bellón, de la Cruz Beatriz. "Une approche multiscalaire par télédétection pour la cartographie et la caractérisation des systèmes agricoles à l’échelle régionale." Thesis, Paris, AgroParisTech, 2018. http://www.theses.fr/2018AGPT0002.

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Dans un contexte de planification de l’utilisation des terres à l’échelle régionale, la cartographie des systèmes agricoles - espèces cultivées et pratiques culturales - permet de suivre ce qui est produit, où et comment, et constitue donc un élément essentiel d’évaluation régionale de la production et de son impact sur l’environnement. La production d’information sur les systèmes agricoles nécessite généralement beaucoup de données et d’expertise. Cette information est donc très hétérogène en quantité et en qualité dans l'espace et le temps, la disponibilité et les mises à jour étant extrêmem

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Xu, Bo. "Object-based image analysis (OBIA) of vegetation in Great Smoky Mountains National Park." 2007. http://purl.galileo.usg.edu/uga%5Fetd/xu%5Fbo%5F200712%5Fms.

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Lübker, Tillmann. "Object-based remote sensing for modelling scenarios of rural livelihoods in the highly structured farmland surrounding Kakamega Forest, western Kenya: Object-based remote sensing for modelling scenarios of rural livelihoods in the highly structured farmland surrounding Kakamega Forest, western Kenya." Doctoral thesis, 2013. https://tud.qucosa.de/id/qucosa%3A28246.

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This thesis analyses the highly structured and densely populated farmland surrounding Kakamega Forest (western Kenya) in a spatially-explicit manner. The interdisciplinary approach combines methodologies and technologies from different scientific disciplines: remote sensing with OBIA, GIS and spatially explicit modelling (geomatics and geographic science) with socio-economic as well as agro-economic considerations (human and social sciences) as well as cartographic science. Furthermore, the research is related to conservation biology (biological sciences). Based on an in-situ ground truthing

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Marpu, Prashanth Reddy [Verfasser]. "Geographic object based image analysis / by Prashanth Reddy Marpu." 2009. http://d-nb.info/994521715/34.

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Chou, Yu-Jung, and 周佑融. "Object-Based Video Coding and Compressed Image Scene Analysis." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/91387120104638036235.

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碩士<br>國立臺灣大學<br>電機工程研究所<br>84<br>Part I: Object-Based Video Coding Nowadays, conventional approaches are reaching a saturation point so that object-based approaches arise more and more attention and interest. We have developed a novel method toward very low bit rate application which is object-based. Decomposing a image into several objects simulates the function of human vision and helps to decrease the number of the motion vectors compared to MPEG. we have also proposed a method to solve

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