Relevant bibliographies by topics / ERDAS IMAGINE

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'ERDAS IMAGINE'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "ERDAS IMAGINE"

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Nelson, Stacy A. C., Siamak Khorram, and Shiloh Dorgan. "Image Processing and Data Analysis with ERDAS IMAGINE." Photogrammetric Engineering & Remote Sensing 86, no. 10 (October 1, 2020): 597–98. http://dx.doi.org/10.14358/pers.86.10.597.

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Dobesova, Zdena. "Cognition of Graphical Notation for Processing Data in ERDAS IMAGINE." ISPRS International Journal of Geo-Information 10, no. 7 (July 15, 2021): 486. http://dx.doi.org/10.3390/ijgi10070486.

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This article presents an evaluation of the ERDAS IMAGINE Spatial Model Editor from the perspective of effective cognition. Workflow models designed in Spatial Model Editor are used for the automatic processing of remote sensing data. The process steps are designed as a chain of operations in the workflow model. The functionalities of the Spatial Model Editor and the visual vocabulary are both important for users. The cognitive quality of the visual vocabulary increases the comprehension of workflows during creation and utilization. The visual vocabulary influences the user’s exploitation of workflow models. The complex Physics of Notations theory was applied to the visual vocabulary on ERDAS IMAGINE Spatial Model Editor. The results were supplemented and verified using the eye-tracking method. The evaluation of user gaze and the movement of the eyes above workflow models brought real insight into the user’s cognition of the model. The main findings are that ERDAS Spatial Model Editor mostly fulfils the requirements for effective cognition of visual vocabulary. Namely, the semantic transparency and dual coding of symbols are very high, according to the Physics of Notations theory. The semantic transparency and perceptual discriminability of the symbols are verified through eye-tracking. The eye-tracking results show that the curved connector lines adversely affect the velocity of reading and produce errors. The application of the Physics of Notations theory and the eye-tracking method provides a useful evaluation of graphical notation as well as recommendations for the user design of workflow models in their practice.
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Chen, Hao, Tian Liang, and Juan Yao. "The Processing Algorithms and EML Modeling of True Color Synthesis for SPOT5 Image." Applied Mechanics and Materials 373-375 (August 2013): 564–68. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.564.

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SPOT-5 image is widely used in every trade by its special advantage of high spatial resolution and stereo mapping. SPOT-5 image is difficult to composite true color without blue wavelength channel. This article aims to achieve approximation from RS images colors to natural colors through true-color processing. The experiential arithmetic module of true-color composite is established by Using Erdas Imagine, which is the software for processing RS image, and ERDAS Macro Language (EML), which is modeling language. Loading module and some simulations get more effective images of approximating natural colors by all kinds of surface features of SPOT-5 image.
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Sun, Tong He, and Guo Qing Yan. "Land Utilization and Classification Method Based on Remote Sensing Technology." Applied Mechanics and Materials 239-240 (December 2012): 501–6. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.501.

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This paper discusses land utilization classification based on remote sensing technology. Taking the Xinjiang Kulja county bureau department area remote sensing images as the basic information, and using ERDAS IMAGINE, this paper discusses non-supervised classification and supervised classification methods. The results show that remote sensing technology applies to land utilization situation and land classification, which has reference value.
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Plotnikova, Marina, and Elena Khlebnikova. "MONITORING OF URBAN AREA WITH SATELLITE IMAGERY." Interexpo GEO-Siberia 6, no. 1 (2019): 86–93. http://dx.doi.org/10.33764/2618-981x-2019-6-1-86-93.

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The problem of identifying changes occurring in the territory of an urban area due to construction of new facilities, renovations and reconstructions using remote sensing of the Earth was considered. Various algorithms for automated detection of changes from different-time satellite images in the ERDAS IMAGINE 2010 program are analyzed in practice. Factors that must be considered when monitoring urban areas are identified.
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Kaimaris, Dimitris, Petros Patias, and Maria Sifnaiou. "UAV and the comparison of image processing software." International Journal of Intelligent Unmanned Systems 5, no. 1 (January 3, 2017): 18–27. http://dx.doi.org/10.1108/ijius-12-2016-0009.

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Purpose The purpose of this paper is to discuss unmanned aerial vehicle (UAV) and the comparison of image processing software. Design/methodology/approach Images from a drone are used and processed with new digital image processing software, Imagine UAV® of Erdas imagine 2015®. The products (Digital Surface Model and ortho images) are validated with check points (CPs) measured in the field with Global Positioning System. Moreover, similar products are produced by Agisoft PhotoScan® software and are compared with both the products of Imagine UAV and the CPs. Findings The results reveal that the two software tools are almost equivalent, while the accuracies of their products are similar to the accuracies of the external orientations of drone images. Originality/value Comparison of image processing software.
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Zeng, Guang Wei, Gui Fen Chen, Chu Nan Li, and Jiao Ye. "The Comparative Study of Remote Sensing Image Classification Method Based on ERDAS." Advanced Materials Research 546-547 (July 2012): 542–47. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.542.

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ERDAS IMAGINE is a remote sensing image processing system developed by the United States.The paper using ERDAS to classified the remote sensing of Land-sat TM image data by supervised classification method and unsupervised classification method, Using the Yushu City remote sensing image of Jilin Province as the trial data, and classified the forest, arable land and water from the remote sensing images, compared the test data of the supervised classification and unsupervised classification method, shows that the supervised classification method can be better to solute the questions "with the spectrum of foreign body" and "synonyms spectrum" than unsupervised classification method, and optimize classification images, improved information extraction accuracy. The application shows the classification result is consistent with the actual situation and it laid the foundation for land to have the rational planning and use.
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FERNANDES, Márcia Rodrigues de Moura, Ronie Silva JUVANHOL, Daniel Henrique Breda BINOTI, Gilson Fernandes da SILVA, Márcio BERNARDI, Josué Pedro dos Santos BORGES, and Hélio Garcia LEITE. "APLICAÇÃO DE CLASSIFICADORES CONVENCIONAIS E REDE NEURAL ARTIFICIAL PARA MAPEAMENTO DE UMA IMAGEM VANT." Geosciences = Geociências 36, no. 4 (January 17, 2018): 785–91. http://dx.doi.org/10.5016/geociencias.v36i4.10472.

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Este estudo teve por objetivo avaliar a eficiência de dois classificadores convencionais e uma rede neural MLP para o mapeamento do uso da terra a partir de uma imagem VANT. Foram definidas quatro classes na imagem para a classificação automática: eucalipto, pastagem, matocompetição e solo exposto. O algoritmo utilizado no simulador de redes neurais artificiais NeuroDic® 2.0 foi o resilient-propagation. Para aplicação dos classificadores convencionais MAXVER e ISODATA foi utilizado o software Erdas Imagine®11. A melhor classificação foi obtida pelo algoritmo MAXVER e o pior desempenho, com o algoritmo ISODATA. Ao final, pode-se concluir que a rede neural mostrou ser um paradigma eficiente para a classificação de imagens.
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Gabzdyl, Martin. "Comparison of the tree species select classification methods from aerial photo." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 56, no. 5 (2008): 279–92. http://dx.doi.org/10.11118/actaun200856050279.

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This article describes a comparison of various programs for the automatic supervised classification used for identification of forest tree species representation from the aerial photographs. These programs were represented by American software Erdas Imagine 8.4, Czech products LuciaG 4.0 and TopoL DMT 6.014. The study displays a minor production forest area with proportion of four most frequently occurring tree species – spruce, larch, oak and ash in the research area of the forest region around Bystřice pod Hostýnem, the Czech Republic. For the reason of lower quality of spectrozonal photographs it was necessary to use some corrections; such as highlighting pen techniques, namely Kernel Processor Low-Frequency and High-Frequency filters, belonging to space operations. Photographs, modified in this way, served for a construction of individual training sets, which were consequently used within individual classification methods of directed classification in each comparative software. Self-classification took place at the level of a particular tree species. Classification accuracy was determined by comparison of results and reference data from the terrain research.The outcome is, that the best classification for oak and ash was in combination with TopoL program, classification according to gravity centre and combination of solation + insolation signature of the treetop parts with an aggressive shade.On the contrary, for spruce and larch was the best classification in combination with software Erdas Imagine, classification roles of intervals mahalanobis with combination of solation signature of the treetop parts, along these tree edges with an aggressive shade.
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Gooch, M. J., J. H. Chandler, and M. Stojic. "Accuracy Assessment of Digital Elevation Models Generated Using the Erdas Imagine Orthomax Digital Photogrammetric System." Photogrammetric Record 16, no. 93 (April 1999): 519–31. http://dx.doi.org/10.1111/0031-868x.00140.

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Dissertations / Theses on the topic "ERDAS IMAGINE"

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Marques, Junior Luiz Carlos. "Classificação de plantas daninhas em banco de imagens utilizando redes neurais convolucionais /." Bauru, 2019. http://hdl.handle.net/11449/182521.

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Orientador: José Alfredo Covolan Ulson
Banca: Adriano de Souza Marques
Banca: Fernando de Souza Campos
Resumo: As espécies exóticas invasoras, também conhecidas como plantas daninhas, competem por recursos, como sol, água e nutrientes paralelamente a cultura plantada, impondo prejuízos econômicos ao agricultor. Para minimizar este problema, atualmente os agricultores fazem uso de herbicidas para a eliminação e/ou controle das plantas daninhas. O uso de herbicidas depara-se com problemas: i) algumas plantas daninhas são resistentes a aplicação de herbicidas e, ii) quando aplicados em demasia pode-se ter a contaminação da cultura plantada, do lençol freático e dos mananciais como rios e lagos. Nesse contexto, visando o desenvolvimento de ferramentas que permitam a minimização do emprego de herbicidas, novas abordagens que fazem uso de visão computacional e inteligência artificial aparecem como soluções promissoras, agregando novas ferramentas a agricultura de precisão. Dentre essas soluções destaca-se o aprendizado profundo (do inglês Deep Learning), que utiliza as redes neurais convolucionais para extrair características relevantes, principalmente em imagens, dessa maneira, permite por exemplo a identificação e a classificação de plantas daninhas, o que possibilita ao agricultor optar tanto pela eliminação mecânica da planta daninha quanto a aplicação localizada de herbicidas e em quantidades adequadas. A partir deste desafio que é a correta classificação de diferentes espécies de plantas daninhas, especialmente plantas resistentes aos herbicidas comerciais, o objetivo deste trabalho f... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: Exotic invasive species, also known as weeds, compete for resources such as sun, water and nutrients in parallel with the planted crop, imposing economic losses to the farmer. To minimize this problem, farmers are currently using herbicides for the elimination and / or control of weeds.The use of herbicides has problems: i) some weeds are resistant to the application of herbicides and ii) when applied too much can contaminate the planted crop, groundwater and springs such as rivers and lakes. In this context, aiming at developing tools to minimize the use of herbicides, new approaches that make use of computer vision and artificial intelligence appear as promising solutions, adding new tools to precision agriculture. Among these solutions are the Deep Learning, which uses the convolutional neural networks to extract relevant features, mainly in images, thus, allows for example the identification and classification of weeds, which enables the farmer to opt for the mechanical elimination of the weeds as well as the localized application of herbicides and in adequate quantities. From this challenge, which is the correct classification of different weed species, especially plants resistant to commercial herbicides, the objective of this study was to apply and compare the performance of four architectures of convolutional neural networks for classification of weed five species contained in an image bank developed for this work. The training and classification of the species were c... (Complete abstract click electronic access below)
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Davis, Tiana. "Quantifying Chlorophyll a Content Through Remote Sensing: A Pilot Study of Utah Lake." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1261.pdf.

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Coltri, Mariana Bianchini Malerba. "Imagens de herbários do século XVI como formas de registro e comunicação de conhecimentos: O herbário de William Turner (c.1510 - 1568)." Pontifícia Universidade Católica de São Paulo, 2017. https://tede2.pucsp.br/handle/handle/20081.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
In this study, we analyze the relevance of the images in herbaria from the XVIth century, emphasizing mainly some aspects of the relation between image and text present in the books of this period. We also intend to highlight the use of images for the purpose of registration and circulation of knowledge. However, to develop this study in the field of History of Science, we chose as a case study the work A New Herball, published in 1568 by the british scholar William Turner (c.1510-1568). From this work, we present some discussions about the use of images and their relevance for the knowledge about nature at that time. We complement this work with a didactic sequence acting in the interface between the History of Science and Teaching, emphasizing science as human construction and the relevance of images in the process of communication of knowledge
Neste estudo, analisamos a relevância das imagens em herbários do século XVI, salientando principalmente alguns aspectos da relação imagem e texto presentes nos livros desse período. Buscamos também evidenciar o uso das imagens no registro e circulação de conhecimentos. Contudo, para desenvolver este trabalho no âmbito da História da Ciência, escolhemos como estudo de caso a obra A New Herball, publicada em 1568 pelo estudioso britânico William Turner (c.1510-1568). A partir dela, apresentamos algumas discussões sobre o uso das imagens e sua relevância para o conhecimento sobre a natureza daquela época. Complementamos este trabalho com uma sequência didática que atua na interface entre a História da Ciência e o Ensino, enfatizando a ciência como construção humana e a relevância das imagens no processo de comunicação do conhecimento
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KOTLABOVÁ, Soňa. "Vyhotovení stručného návodu pro software Leica ERDAS IMAGINE v 9.1 s přihlédnutím jeho aplikace pro potřeby výuky KPÚ." Master's thesis, 2011. http://www.nusl.cz/ntk/nusl-48273.

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The aim of this work is to get familiar with the environment and data processing in the program ERDAS IMAGINE and then based on acquired knowledge to prepare a brief tutorial that will be usable for teaching.The first part deals with remote sensing (RS), its methods, output data and data gathering. The second part is the instruction. The instruction containes of essential features of the program, such as settings, description of the menu, creation and adjustment of data and data output. The work contains a large amount of image data.
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PINKAVOVÁ, Šárka. "Využití metod a dat DPZ při tvorbě KPÚ." Master's thesis, 2008. http://www.nusl.cz/ntk/nusl-44845.

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This diploma thesis covers questions of remote sensing in relation to land adjustment. On water area is showm usage of the vegetation index NDVI and the Tasseled Cap transformation. Satellite images were processed in computer software ERDAS IMAGINE.
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JURÁNEK, Stanislav. "Tvorba digitálního modelu terénu pro povodí Jenínského toku a analýza drah soustředěného odtoku vod." Master's thesis, 2008. http://www.nusl.cz/ntk/nusl-44840.

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The aim of the thesis is localization and interpretation of paths of concentration runoff in digital terrain model. Digital terrain model(DTM) is processed for the catchment of the Jenín stream, where The Faculty of Agriculture has held the research since the year 2004. For creation of DTM following software programs were used for comparison: Erdas and ArcGIS. Digitalized maps of contour lines for this catchment were the backgrounds for creation of the DTM. Localization of paths of concentration runoff and natural thalwegs was made on created DTM. Then was the comparison of models and the real topography of the catchment realized. Possible reasons of differences were discussed in discussion. Different (in colours and resolution) variations of DTM with localized paths of concentration runoff are the result, with the view of better legibility and more truly representation of real topography of the landscape.
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Nephawe, Mbavhalelo. "An assessment of the impacts of land use changes on the Duthuni wetland stream using remote sensing, GIS and social surveying: a case study in Limpopo Province, South Africa." Diss., 2017. http://hdl.handle.net/11602/892.

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MENVSC
Department of Geography and Geo-Information Sciences
This is a case study research that focuses on the assessment of the impacts of land use changes on the Duthuni wetland ecosystem in Limpopo Province using geospatial techniques and Social Survey. SPOT 4 satellite images which covered the time frame between 1999, 2005 to 2012, were used. The unit of analysis included different institutions such as the local municipality, farmers, the heads of the households and Chief of the Village. In this study, different methods of sampling were used in different context for selecting participants and for sample size determination. The different instruments for data collection included the questionnaires, interviews, focus group interviews and documents review. Socio-economic survey and review of documents were carried out to understand historical trends, collect ground truth and other secondary information required. Data collected from the survey were captured and analysed using the Statistical Package for Scientific Solutions (SPSS). For quantitative analysis, Chi-Square and cross tabulation were employed in SPSS. Analysis of satellite imagery was accomplished through integrated use of ERDAS Imagine (version 2015) and ArcGIS (version 10.1) software package. The themes were identified and analysed using the content analysis based on the main research topics. The results show that the land use/ cover changes have occurred at an unprecedented rate over the years 1999 to 2012. From the year 1999 to the year 2012, the total land use/ cover conversions equal to 299.984 ha of land. The trend and spatial extent of land use/ cover changes had undergone considerable changes over the years in the study period. The major contributing factors included population increase, expansion of agriculture and lack of space to settle. The residential area was found to be the major factor contributing to land use change over the years with an increase of (102.87ha.). People residing in Duthuni village especially along the wetland ecosystem consist of the majority of female-headed households. There is no proper facilitation and mentoring in the village by the government in order to resolve social problems when it comes to land use change. Water pollution and soil erosion were found to be the major concern by wetland users such as farmers and residents. Lack of knowledge has also been identified as one of the driving factors of environmental impacts of land use change in the area. Food was the most resources with 41% which the community gets from the wetland.
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Books on the topic "ERDAS IMAGINE"

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Nelson, Stacy A. C., and Siamak Khorram. Image Processing and Data Analysis with ERDAS IMAGINE®. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b21969.

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(Firm), ERDAS, ed. ERDAS IMAGINE tour guides. Atlanta, GA: ERDAS Inc., 1997.

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Geological Survey (U.S.). National Mapping Division, ed. Enhancing USGS image processing capabilities: The development of a users guide, video tape guide, and in-house course outline for ERDAS software. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, National Mapping Division, 1994.

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Schwyzer, Philip. Nationalism in the Renaissance. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199935338.013.70.

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Although an influential school of thought locates the origins of nationalism in the late eighteenth century, the Tudor era has long been associated with the rise of English national consciousness. This chapter surveys recent studies of sixteenth-century nationalism and argues that the national community imagined in Tudor literature was in many respects more British than English. Whether or not a developed nationalist ideology was present in sixteenth-century England, the works of Shakespeare and his contemporaries have been crucial to the development and expression of national consciousness in later eras. Indeed, it is precisely where early modern literary texts look forward to the nation as something yet to come that they speak most powerfully to nationalist sensibilities.
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Bass, Amy. We Believe. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037610.003.0010.

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This chapter examines the diasporic quality of Red Sox Nation and the effects of winning two World Series on its (formerly “angst-ridden”) citizenry. For Boston Red Sox fans, the definition of home has always been blurry. Red Sox fans have always been part of a diasporic New England community more imagined than real, but maintaining a strong identity. Even in its most parochial eras, the Red Sox have reached far beyond Fenway Park, rendering “Boston” as home for people in Maine, Vermont, New Hampshire, Rhode Island, parts of Connecticut, and the rest of Massachusetts. In the 2004 championship season, the Red Sox surpassed the New York Yankees as Major League Baseball's most profitable road attraction. This chapter considers how the creation of Red Sox Nation turned the team into a national phenomenon, “enjoying a community that is rooted to whatever space it occupies at any given moment.”
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Halle, Randall. Interzone History. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252038457.003.0003.

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This chapter looks at the latter part of the nineteenth century when film makes its appearance, and at which point old multiethnic empires such as the Austro-Hungarian, the Russian, or the Ottoman competed with the colonial powers of France and Great Britain, and new rising powers like the German Empire, for world domination. The moving image that entered into the medial apparatus intimately connected to questions of nationalism and imperialism. The chapter focuses on the historical development of cinema from the early silent to early sound eras. It seeks to revise that history by considering the relationship of the cinematic apparatus to the imperial and national social configuration, while underscoring the production of interzones in those relationships.
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Worthington, Ian. Athens After Empire. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190633981.001.0001.

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When we think of ancient Athens, the image invariably coming to mind is of the Classical city, with monuments beautifying everywhere; the Agora swarming with people conducting business and discussing political affairs; and a flourishing intellectual, artistic, and literary life, with life anchored in the ideals of freedom, autonomy, and democracy. But in 338 that forever changed when Philip II of Macedonia defeated a Greek army at Chaeronea to impose Macedonian hegemony over Greece. The Greeks then remained under Macedonian rule until the new power of the Mediterranean world, Rome, annexed Macedonia and Greece into its empire. How did Athens fare in the Hellenistic and Roman periods? What was going on in the city, and how different was it from its Classical predecessor? There is a tendency to think of Athens remaining in decline in these eras, as its democracy was curtailed, the people were forced to suffer periods of autocratic rule, and especially under the Romans enforced building activity turned the city into a provincial one than the “School of Hellas” that Pericles had proudly proclaimed it to be, and the Athenians were forced to adopt the imperial cult and watch Athena share her home, the sacred Acropolis, with the goddess Roma. But this dreary picture of decline and fall belies reality, as my book argues. It helps us appreciate Hellenistic and Roman Athens and to show it was still a vibrant and influential city. A lot was still happening in the city, and its people were always resilient: they fought their Macedonian masters when they could, and later sided with foreign kings against Rome, always in the hope of regaining that most cherished ideal, freedom. Hellenistic Athens is far from being a postscript to its Classical predecessor, as is usually thought. It was simply different. Its rich and varied history continued, albeit in an altered political and military form, and its Classical self-lived on in literature and thought. In fact, it was its status as a cultural and intellectual juggernaut that enticed Romans to the city, some to visit, others to study. The Romans might have been the ones doing the conquering, but in adapting aspects of Hellenism for their own cultural and political needs, they were the ones, as the poet Horace claimed, who ended up being captured.
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Book chapters on the topic "ERDAS IMAGINE"

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Nelson, Stacy A. C., and Siamak Khorram. "Acquiring Data: EarthExplorer, GloVis, LandsatLook Viewer, and NRCS Geospatial Data Gateway." In Image Processing and Data Analysis with ERDAS IMAGINE®, 1–48. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b21969-1.

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Nelson, Stacy A. C., and Siamak Khorram. "Supervised Classification." In Image Processing and Data Analysis with ERDAS IMAGINE®, 207–29. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b21969-10.

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Nelson, Stacy A. C., and Siamak Khorram. "Object Based Image Analysis." In Image Processing and Data Analysis with ERDAS IMAGINE®, 231–47. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b21969-11.

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Nelson, Stacy A. C., and Siamak Khorram. "Additional Image Analysis Techniques." In Image Processing and Data Analysis with ERDAS IMAGINE®, 249–71. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b21969-12.

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Nelson, Stacy A. C., and Siamak Khorram. "Assessing Thematic Classification Accuracy." In Image Processing and Data Analysis with ERDAS IMAGINE®, 273–87. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b21969-13.

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Nelson, Stacy A. C., and Siamak Khorram. "Basics of Digital Stereoscopy." In Image Processing and Data Analysis with ERDAS IMAGINE®, 289–306. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b21969-14.

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Nelson, Stacy A. C., and Siamak Khorram. "Introduction to Image Data Processing." In Image Processing and Data Analysis with ERDAS IMAGINE®, 49–68. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b21969-2.

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Nelson, Stacy A. C., and Siamak Khorram. "Georectification." In Image Processing and Data Analysis with ERDAS IMAGINE®, 69–93. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b21969-3.

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Nelson, Stacy A. C., and Siamak Khorram. "Orthorectification." In Image Processing and Data Analysis with ERDAS IMAGINE®, 95–116. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b21969-4.

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Nelson, Stacy A. C., and Siamak Khorram. "Positional Accuracy Assessment." In Image Processing and Data Analysis with ERDAS IMAGINE®, 117–21. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b21969-5.

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Conference papers on the topic "ERDAS IMAGINE"

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Auer, Stefan, Daniele Cerra, Peter Gege, Martin Bachmann, Andreas Roitzsch, Uwe Mitschke, Merlin Becker, Simon Schreiner, and Wolfgang Middelmann. "Reconnaissance of coastal areas using simulated EnMAP data in an ERDAS IMAGINE environment." In Earth Resources and Environmental Remote Sensing/GIS Applications, edited by Ulrich Michel and Karsten Schulz. SPIE, 2018. http://dx.doi.org/10.1117/12.2325402.

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Carvalho, Vitor, Elloá Guedes, and Marcos Salame. "Classificação de Ervas Daninhas em Culturas Agrícolas com Comitês de Redes Neurais Convolucionais." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/eniac.2019.9272.

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Este trabalho teve por objetivo propor e avaliar o uso de comitês de redes neurais convolucionais aplicados à classificação de culturas agrícolas e de ervas daninhas a partir de imagens de mudas. Para tanto, foi considerada uma preparação dos dados de treinamento, a utilização de cinco arquiteturas de redes neurais convolucionais e a elaboração de três comitês com diferentes agregações. Para as redes individuais, uma acurácia de 95,77% foi obtida com o uso da rede MobileNet, e o comitê mediado por uma Máquina de Vetores de Suporte obteve acurácia de 97,08%. Os resultados obtidos colaboram em uma tarefa de Visão Computacional que potencializa o desenvolvimento da agricultura digital, favorecendo um melhor rendimento da produção agrícola.
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Kazemi, H., G. Nagy, L. Tran, E. Grossman, E. R. Brown, A. C. Gossard, G. D. Boreman, B. Lail, A. C. Young, and J. D. Zimmerman. "Ultra sensitive ErAs/InAlGaAs direct detectors for millimeter wave and THz imaging applications." In 2007 IEEE/MTT-S International Microwave Symposium. IEEE, 2007. http://dx.doi.org/10.1109/mwsym.2007.380467.

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Kazemi, Hooman, Jeramy D. Zimmerman, Elliott R. Brown, Arthur C. Gossard, Glenn D. Boreman, Jonathan B. Hacker, Brian Lail, and Charles Middleton. "First MMW characterization of ErAs/InAlGaAs/InP semimetal-semiconductor-Schottky diode (S3) detectors for passive millimeter-wave and infrared imaging." In Defense and Security, edited by Roger Appleby and David A. Wikner. SPIE, 2005. http://dx.doi.org/10.1117/12.604118.

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Del Gallego, Neil Patrick, Cedric Lance Viaje, Michael Ryan Gerra-Clarin, John Marvic Roque, Gary Steven Non, Jesin Jarod Martinez, and Jose Antonio Gana. "A Mobile Augmented Reality Application For Simulating Claude Monet’s Impressionistic Art Style." In WSCG'2021 - 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2021. Západočeská univerzita, 2021. http://dx.doi.org/10.24132/csrn.2021.3002.9.

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In this study, we showcase a mobileaugmented reality application where a user places various 3D models in atabletop scene. The scene is captured and then rendered as Claude Monet’s impressionistic art style. One possibleuse case for this application is to demonstrate the behavior of the impressionistic art style of Claude Monet, byapplying this to tabletop scenes, which can be useful especially for art students. This allows the user to create theirown "still life" composition and study how the scene is painted. Our proposed framework is composed of threesteps. The system first identifies the context of the tabletop scene, through GIST descriptors, which are used asfeatures to identify the color palette to be used for painting. Our application supports three different color palettes,representing different eras of Monet’s work. The second step performs color mixing of two different colors in thechosen palette. The last step involves applying a three-stage brush stroke algorithm where the image is renderedwith a customized brush stroke pattern applied in each stage. While deep learning techniques are already capableof performing style transfer from paintings to real-world images, such as the success of CycleGAN, results showthat our proposed framework achieves comparable performance to deep learning style transfer methods on tabletopscenes.
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