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Relevant bibliographies by topics / Image fusion methods / Dissertations / Theses

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Dissertations / Theses on the topic 'Image fusion methods'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Lundqvist, Roger. "Atlas-Based Fusion of Medical Brain Images : Methods and Applications." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2001. http://publications.uu.se/theses/91-554-5180-2/.

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Zhang, Qiong. "Infrared image enhancement based on hybrid-domain consideration and data fusion methods." Doctoral thesis, Université Laval, 2016. http://hdl.handle.net/20.500.11794/26993.

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Au cours des dernières décennies, l’effort sur les applications de capteurs infrarouges a largement progressé dans le monde. Mais, une certaine difficulté demeure, en ce qui concerne le fait que les objets ne sont pas assez clairs ou ne peuvent pas toujours être distingués facilement dans l’image obtenue pour la scène observée. L’amélioration de l’image infrarouge a joué un rôle important dans le développement de technologies de la vision infrarouge de l’ordinateur, le traitement de l’image et les essais non destructifs, etc. Cette thèse traite de la question des techniques d’amélioration de l

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Ocampo, Blandon Cristian Felipe. "Patch-Based image fusion for computational photography." Electronic Thesis or Diss., Paris, ENST, 2018. http://www.theses.fr/2018ENST0020.

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Dans de nombreuses situations, la dynamique des capteurs ou la profondeur de champ des appareils photographiques conventionnels sont insuffisantes pour capturer fidèlement des scènes naturelles. Une méthode classique pour contourner ces limitations est de fusionner des images acquises avec des paramètres de prise de vue variables. Ces méthodes nécessitent que les images soient parfaitement alignées et que les scènes soient statiques, faute de quoi des artefacts (fantômes) ou des structures irrégulières apparaissent lors de la fusion. Le but de cette thèse est de développer des techniques perme

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SOLARNA, DAVID. "Machine Learning and Pattern Recognition Methods for Remote Sensing Image Registration and Fusion." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1039743.

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In the last decade, the remote sensing world has dramatically evolved. New types of sensor, each one collecting data with possibly different modalities, have been designed, developed, and deployed. Moreover, new missions have been planned and launched, aimed not only at collecting data of the Earth's surface, but also at acquiring planetary data in support of the study of the whole Solar system. Indeed, such a variety of technologies highlights the need for automatic methods able to effectively exploit all the available information. In the last years, lot of effort has been put in the design a

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Crow, Mason W. "Multiple sensor credit apportionment." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FCrow.pdf.

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Retief, Francois Jacques. "Methods for multi-spectral image fusion: identifying stable and repeatable information across the visible and infrared spectra." Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/20636.

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Fusion of images captured from different viewpoints is a well-known challenge in computer vision with many established approaches and applications; however, if the observations are captured by sensors also separated by wavelength, this challenge is compounded significantly. This dissertation presents an investigation into the fusion of visible and thermal image information from two front-facing sensors mounted side-by-side. The primary focus of this work is the development of methods that enable us to map and overlay multi-spectral information; the goal is to establish a combined image in whic

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Ylimäki, M. (Markus). "Methods for image-based 3-D modeling using color and depth cameras." Doctoral thesis, Oulun yliopisto, 2017. http://urn.fi/urn:isbn:9789526217352.

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Abstract This work addresses the problems related to three-dimensional modeling of scenes and objects and model evaluation. The work is divided into four main parts. At first, the work concentrates on purely image-based reconstruction while the second part presents a modeling pipeline based on an active depth sensor. Then, the work introduces methods for producing surface meshes from point clouds, and finally, a novel approach for model evaluation is presented. In the first part, this work proposes a multi-view stereo (MVS) reconstruction method that takes a set of images as an input and outpu

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Vandoni, Jennifer. "Ensemble Methods for Pedestrian Detection in Dense Crowds." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS116/document.

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Cette thèse s’intéresse à la détection des piétons dans des foules très denses depuis un système mono-camera, avec comme but d’obtenir des détections localisées de toutes les personnes. Ces détections peuvent être utilisées soit pour obtenir une estimation robuste de la densité, soit pour initialiser un algorithme de suivi. Les méthodologies classiques utilisées pour la détection de piétons s’adaptent mal au cas où seulement les têtes sont visibles, de part l’absence d’arrière-plan, l’homogénéité visuelle de la foule, la petite taille des objets et la présence d’occultations très fortes. En pr

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Wei, Qi. "Bayesian fusion of multi-band images : A powerful tool for super-resolution." Phd thesis, Toulouse, INPT, 2015. http://oatao.univ-toulouse.fr/14398/1/wei.pdf.

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Hyperspectral (HS) imaging, which consists of acquiring a same scene in several hundreds of contiguous spectral bands (a three dimensional data cube), has opened a new range of relevant applications, such as target detection [MS02], classification [C.-03] and spectral unmixing [BDPD+12]. However, while HS sensors provide abundant spectral information, their spatial resolution is generally more limited. Thus, fusing the HS image with other highly resolved images of the same scene, such as multispectral (MS) or panchromatic (PAN) images is an interesting problem. The problem of fusing a high spe

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MAGGIOLO, LUCA. "Deep Learning and Advanced Statistical Methods for Domain Adaptation and Classiﬁcation of Remote Sensing Images". Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1070050.

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In the recent years, remote sensing has faced a huge evolution. The constantly growing availability of remote sensing data has opened up new opportunities and laid the foundations for many new challenges. The continuous space missions and new constellations of satellites allow in fact more and more frequent acquisitions, at increasingly higher spatial resolutions, and at an almost total coverage of the globe. The availability of such an huge amount data has highlighted the need for automatic techniques capable of processing the data and exploiting all the available information. Meanwhile, the

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He, Juan Xia. "Assessing and Improving Methods for the Effective Use of Landsat Imagery for Classification and Change Detection in Remote Canadian Regions." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34221.

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Canadian remote areas are characterized by a minimal human footprint, restricted accessibility, ubiquitous lichen/snow cover (e.g. Arctic) or continuous forest with water bodies (e.g. Sub-Arctic). Effective mapping of earth surface cover and land cover changes using free medium-resolution Landsat images in remote environments is a challenge due to the presence of spectrally mixed pixels, restricted field sampling and ground truthing, and the often relatively homogenous cover in some areas. This thesis investigates how remote sensing methods can be applied to improve the capability of Landsat i

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Jacq, Kévin. "Traitement d'images multispectrales et spatialisation des données pour la caractérisation de la matière organique des phases solides naturelles. High-resolution prediction of organic matter concentration with hyperspectral imaging on a sediment core High-resolution grain size distribution of sediment core with 2 hyperspectral imaging Study of pansharpening methods applied to hyperspectral images of sediment cores." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAA024.

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L'évolution de l'environnement et le climat sont, actuellement, au centre de toutes les attentions. Les impacts de l'activité des sociétés actuelles et passées sur l'environnement sont notamment questionnés pour mieux anticiper les implications de nos activités sur le futur. Mieux décrire les environnements passés et leurs évolutions sont possibles grâce à l'étude de nombreux enregistreurs naturels (sédiments, spéléothèmes, cernes, coraux). Grâce à eux, il est possible de caractériser des évolutions bio-physico-chimiques à différentes résolutions temporelles et pour différentes périodes. La ha

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Alenezi, Fayadh S. "Novel Methods for Improved Fusion of Medical Images." University of Toledo / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1555170158084098.

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RAWAT, URVASHI. "INFRARED AND VISIBLE IMAGE FUSION USING HYBRID LWT AND PCA METHOD." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18907.

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Image fusion is a method in which all the relevant information is collected from the input source images and included in few/single output image. Image fusion techniques are divided into two broad categories: spatial domain and transform domain. Principal component analysis (PCA) is a spatial domain technique which is computationally simpler and reduces redundant information but has the demerit of spectral degradation. Lifting wavelet transform (LWT) is a transform domain technique which has an adaptive design and demands less memory. In this project, a novel hybrid fusion algorithm has

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Yang, Bo. "Assimilation of multi-scale thermal remote sensing data using spatio-temporal cokriging method." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868463.

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Brunie, Lionel. "Fusion d'images médicales multimodales : application à l'étude tridimensionnelle dynamique de la colonne vertébrale." Grenoble 1, 1992. http://www.theses.fr/1992GRE10195.

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L'amélioration de la prise en charge du patient passe par l'intégration («fusion») d'informations issues de différentes sources («informations multimodales»). Dans ce cadre, la mise en relation d'images morphologiques (TDM, IRM) avec des images dynamiques (vidéo, radiographie X, balayage LASER, échographie. . . ) ou fonctionnelles (tomographie par émission de positons (TEP), gamma-tomoscintigraphie (SPECT)) apparaît comme un enjeu particulièrement intéressant eu égard à la variété et l'importance de ses applications (imagerie 3D et per-opératoire dynamique, chirurgie assistée par ordinateur, r

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poole, alexander. "Real-Time Image Segmentation for Augmented Reality by Combiningmulti-Channel Thresholds." Thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141194.

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Extracting foreground objects from an image is a hot research topic. Doing thisfor high quality real world images in real-time on limited hardware such as asmart phone, is a demanding task. This master thesis shows how this problemcan be addressed using Otsu’s method together with Gaussian probability dis-tributions to create classifiers in different colour channels. We also show howclassifiers can be combined resulting in higher accuracy than using only the indi-vidual classifiers. We also propose using inter-class variance together with imagevariance to estimate classifier quality.A data set

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Alqasrawi, Yousef T. N. "Natural scene classification, annotation and retrieval : developing different approaches for semantic scene modelling based on Bag of Visual Words." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/5523.

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With the availability of inexpensive hardware and software, digital imaging has become an important medium of communication in our daily lives. A huge amount of digital images are being collected and become available through the internet and stored in various fields such as personal image collections, medical imaging, digital arts etc. Therefore, it is important to make sure that images are stored, searched and accessed in an efficient manner. The use of bag of visual words (BOW) model for modelling images based on local invariant features computed at interest point locations has become a stan

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Yang, Bo. "Spatio-temporal Analysis of Urban Heat Island and Heat Wave Evolution using Time-series Remote Sensing Images: Method and Applications." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1552398782461458.

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Garguet-Duport, Bruno. "Fusion d'images et télédétection en écologie du paysage : application à l'étude structurale d'un corridor fluvial alpin." Grenoble 1, 1994. http://www.theses.fr/1994GRE10159.

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Cette thèse s'inscrit dans le cadre de la fusion d'images satellitaires et de son application à l'étude écologique des grandes plaines d'inondation. Ce travail associe le domaine de l'écologie et celui du traitement d'images. Dans la première partie nous présentons les concepts de base de l'écologie du paysage (Landscape Ecology), l'apport de l'outil télédétection dans cette nouvelle branche de l'écologie et les principales techniques de traitement d'images utilisées dans les applications de télédétection en écologie. Dans la deuxième partie nous exposons les principes du recalage géométrique

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Krefer, Andriy Guilherme. "Fusão de modelos 3D com imagens térmicas para aplicações médicas." Universidade Tecnológica Federal do Paraná, 2015. http://repositorio.utfpr.edu.br/jspui/handle/1/1407.

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CNPq; CAPES<br>A termografia permite a visualização de valores de temperatura de um corpo por meio de imagens. Na área médica, encontra aplicações em oncologia, análise de queimaduras, doenças vasculares, doenças respiratórias, doenças de pele e como forma geral de verificação da vitalidade dos tecidos. A termografia 3D consiste de uma malha 3D com uma textura térmica projetada em sua superfície, oferecendo uma visualização mais precisa dos padrões de temperatura das estruturas anatômicas. Propõe-se, por meio do presente trabalho, um sistema capaz de combinar imagens termográficas 2D com sua m

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Avilès, Cruz Carlos. "Analyse de texture par statistiques d'ordre superieur : caracterisation et performances." Grenoble INPG, 1997. http://www.theses.fr/1997INPG0001.

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Dans le cadre statistique, chercher a classer et a segmenter des textures a grain fin, c'est souvent utiliser des statistiques d'ordre un et d'ordre deux mais parfois ceux-ci sont insuffisantes. Une autre alternative est d'utiliser les statistiques d'ordre superieur, plus particulierement les moments d'ordre trois et d'ordre quatre. Dans ce travail, on met en place une methodologie d'experimentation ayant pour but de faire de la classification et de la segmentation de micro-textures, a l'aide de ces statistiques d'ordre trois et quatre. Deux methodes pour la classification et la segmentation d

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Fortin, Benoît. "Méthodes conjointes de détection et suivi basé-modèle de cibles distribuées par filtrage non-linéaire dans les données lidar à balayage." Phd thesis, Université du Littoral Côte d'Opale, 2013. http://tel.archives-ouvertes.fr/tel-01021085.

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Dans les systèmes de perception multicapteurs, un point central concerne le suivi d'objets multiples. Dans mes travaux de thèse, le capteur principal est un télémètre laser à balayage qui perçoit des cibles étendues. Le problème desuivi multi-objets se décompose généralement en plusieurs étapes (détection, association et suivi) réalisées de manière séquentielle ou conjointe. Mes travaux ont permis de proposer des alternatives à ces méthodes en adoptant une approche "track-before-detect" sur cibles distribuées qui permet d'éviter la succession des traitements en proposant un cadre global de rés

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Bieniarz, Jakub. "Sparse Methods for Hyperspectral Unmixing and Image Fusion." Doctoral thesis, 2016. https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2016030214286.

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In recent years, the substantial increase in the number of spectral channels in optical remote sensing sensors allows more detailed spectroscopic analysis of objects on the Earth surface. Modern hyperspectral sensors are able to sample the sunlight reflected from a target on the ground with hundreds of adjacent narrow spectral channels. However, the increased spectral resolution comes at the price of a lower spatial resolution, e.g. the forthcoming German hyperspectral sensor Environmental Mapping and Analysis Program (EnMAP) which will have 244 spectral channels and a pixel size on ground as

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Jing, Linhai. "Spectral distortion analysis in image fusion algorithms for remote sensing and development of fusion methods /." 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:NR39016.

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Thesis (Ph.D.)--York University, 2008. Graduate Programme in Earth and Space Science.<br>Typescript. Includes bibliographical references (leaves 218-238). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:NR39016

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Santarelli, Chiara. "Advanced methods for volumetric interpolation and multimodal fusion of tomographic sequences with application to 3D reconstruction in biomedicine." Doctoral thesis, 2021. http://hdl.handle.net/2158/1238978.

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Recently, anatomical 3D models, thanks also to the increased diffusion of 3D printing technologies, have been successfully introduced in the clinical field as innovative tools to support the medical team in several tasks. Advances in 3D technology now provide a realistic representation of complex anatomies that can be used as an aid for diagnosis, surgical planning and training. In general, 3D reconstructions are more accurate when they are the outcome of the processing of high-resolution image sequences. On the other hand, if a sequence is characterized by few tomographic sections, only a coa

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Fauvel, Mathieu. "Spectral and Spatial Methods for the Classification of Urban Remote Sensing Data." Phd thesis, 2007. http://tel.archives-ouvertes.fr/tel-00258717.

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Lors de ces travaux, nous nous sommes intéressés au problème de la classification supervisée d'images satellitaires de<br /> zones urbaines. Les données traitées sont des images optiques à très hautes résolutions spatiales: données panchromatiques à très haute résolution spatiale (IKONOS, QUICKBIRD, simulations PLEIADES) et des images hyperspectrales (DAIS, ROSIS).<br />Deux stratégies ont été proposées.<br />La première stratégie consiste en une phase d'extraction de caractéristiques spatiales et spectrales suivie d'une phase de classification. Ces caractéristiques sont extraites par filtrage

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Cheng, Chang Chun, and 張君誠. "Fusion Method of Depth Image and Visual Image." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/2289dp.

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碩士<br>國立雲林科技大學<br>資訊工程系<br>106<br>Since the color of most defects on a tire and the tire itself are black, the inspection of defects is a big challenge, especially only using visual images with image enhancement and recognition technology. A more reasonable approach is using multi-sensor system for inspection, e.g., laser, shearography,..etc. An important step of such a multi-sensor inspection system is the fusion of the multiple types of data acquired from those sensors. The fusion is transforming one data from its original coordinator system to the coordinator system of another data set or p

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Liu, Kuan-Sheng, and 劉冠陞. "Image fusion method for CT and MRI." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/jjyv5v.

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碩士<br>中山醫學大學<br>醫學資訊學系碩士班<br>106<br>Image fusion is a very important issue in the field of computer vision in recent years, and its application is very extensive. Image fusion technology can fuse multiple images with the same scene into a single clear image with more information. In the field of medicine, CT images mainly can master the structure of the tissue, such as a bone, while MRI images are more able to grasp functional tissue. So if CT and MRI can be fused very accurately and effectively, then the fused image will help doctors the more accurate diagnosis, and reduce the probability of

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Liao, Chih-Yuan, and 廖志遠. "Biological Image Fusion Using Multi-scale Bilateral Filtering Method." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/mf72xg.

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碩士<br>國立中興大學<br>資訊科學與工程學系所<br>101<br>Green Fluorescent Protein, GFP, has great contribution to biological study. With phase contrast image provide detail structure information, the biological image fusion help a lot in protein study. In this paper, we provide a new idea to fuse these two images which the GFP image provide the color information and phase contrast image provide the local and structure information.We first apply a Multi-scale bilateral filter (MSBF) fusion in YCbCr domain with GFP image and contrast image and get a transit image. The transit image then use as the GFP image with t

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Lin, Zong-han, and 林宗翰. "Metal Artifact Reduction in CT Image using Automatic Metal Detection and Image Fusion Method." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/2sa45z.

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碩士<br>國立中正大學<br>機械工程學系暨研究所<br>103<br>The purpose of this thesis is to develop a metal artifacts elimination algorithm and applied on the digital dental category application. The metal artifacts caused by metal implants have great impacts on the image quality and limit the applications of computed tomography. The standard method used to reduce these metal artifacts often consists of interpolating method, but that will result on the losing of image quality and produce new artifacts at the same time. To overcome these drawbacks, this paper proposes a new strategy based on a four process method: (

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Wang, Shu-Lin, and 王書麟. "A Novel Fusion Method for MR and PET Images." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/j7dq73.

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碩士<br>國立中興大學<br>資訊科學與工程學系所<br>101<br>Due to the development of nuclear medicine, extensive applications of medical imaging technology enhance the accuracy of diagnosis. The goal of this thesis is to develop a new image fusion approach to combine the structural information of Magnetic Resonance Imaging (MRI) and the color information of Positron Emission Tomography (PET) in one image. A new method is designed to extract and reinforce the details of a fused image. The method has two phases: image fusion and reinforcement. In the first phase, the gray-level intensity is obtained through the IHS t

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Chang, Cheng-Yu, and 張正宇. "Satellite Image Fusion based on IHS Transformation and Unsharp Masking Method." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/75049204348011638778.

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碩士<br>國立中興大學<br>資訊科學與工程學系<br>104<br>The technique improvement makes a big progress in satellite imagery resolution. IKONOS and QuickBird satellite images can provide 1 meter and 0.6 meters of resolutions in panchromatic images (PAN image), and 2.8 to 4 meters of resolution in a low-resolution multispectral imaging(MS image), respectively. Although, the panchromatic image can provide landscape details, it still needs color information of multispectral images to improve the accuracy of object identification. Therefore, image fusion technology which combines panchromatic image and multispectral i

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Lee, Yin, and 李殷. "A New All-in-focus Image Fusion Method Using Quadtree-based Segmentation." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/3zrv87.

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碩士<br>國立交通大學<br>多媒體工程研究所<br>103<br>All-in-focus image fusion is to extract detailed information from different source images of the same scene to generate a new image containing more visual information than source images. This paper proposed a focus stacking method using image block segmentation. According to the spatial frequency of block, source images are separated into clear part and blurred part. The former one is selected to be part of output image at corresponding place. Notably, the proposed method also contains source image calibration, which means source images will be registered whi

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Chuang, Yu-Hsing, and 莊侑興. "Highly Efficient Image Registration Method for Image Fusion Application as High Dynamic Range in Digital Still Camera." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/62528255792368055235.

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碩士<br>國立交通大學<br>顯示科技研究所<br>95<br>As the digital still camera (DSC) becomes popular, digital images are taken to record our lives. However, the images taken by the commercial DSCs can not exhibit a broad range of light variations especially containing both very dark and very bright areas. On the contrary, human vision can tell the tiny difference of light intensity. Therefore, not all details of the scene we see are transformed to the images because of the above limitation of the commercial DSCs. In this thesis, fusing two images with high and low exposures to broaden the dynamic range of the c

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Huang, Wen-Chi, and 黃文圻. "An Image Fusion Method Based on Multi-angle Illumination Targeted for Medical Endoscopes." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/26139548019066575550.

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碩士<br>國立臺北教育大學<br>資訊科學系碩士班<br>102<br>In this thesis, a novel method for improving the image quality of the endoscopy for the gastrointestinal (GI) tract is presented. The proposed method takes pictures with multi-angel illuminations one by one, and then combines these pictures to form one image without specular highlights and shade. During a GI tract inspection, the probability of finding illnesses by doctor decreases without using clear pictures taken from endoscopes. During a typical inspection with the electronic endoscope, the light source machine is set at the average light sensing mode t

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Hsu, Chih-Hsiang, and 許志祥. "A Fusion method for Liver cells images based on Contour-Segmentation." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/43514349283463273051.

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碩士<br>靜宜大學<br>資訊工程學系碩士班<br>98<br>In liver-cell images, some cells appear unfocused when taken under the same focal-length lens due to their 3-dimensional structure nature. For better analyzing the cells form a single image, fusing multiple muti-focus images becomes essential. In literature, only a pixel-based fusion method DWTFM had been presented. However, the cells in the fused images sometimes appear distorted from the focus ones, as they are reconstructed from the most significant DWT coefficients gathered among all input images. In order to keep the individual cell authentic, (i.e., the c

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Lin, Wei-Hua, and 林韋華. "An Effective Saturation-Revising Method for Remote Sensing Image Fusion Based on IHS Transformation." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/26067527055385334059.

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Ho, Hsuan-Chi, and 何炫騏. "A TOA-reflectance-based Spatial-temporal Image Fusion Method for Aerosol Optical Depth Retrieval." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/n7a739.

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碩士<br>國立中央大學<br>土木工程學系<br>106<br>Satellite remote sensing images provide periodical and multispectral information about the atmosphere and ground surface, which empowers various monitoring applications. Among the applications, some of them require high spatial and temporal resolutions, such as disaster management, crop phenology monitoring, and land cover change detection. Recently, with urban development and industrialization, air pollution becomes an important issue to human health. While ground stations can monitor air quality effectively, the spatial resolution of ground stations is usuall

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Wang, Szu-Ying, and 王思穎. "Improved Fusion Method for Out-Of-Focus Images with Human Visual Effect." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/08277078069943593548.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>96<br>The objective of image fusion is to combine information from multiple images of the same scene. The result of image fusion is a new image which is more suitable for human and machine perception or further image-processing tasks. In this paper, we propose a new method to fuse two out-of-focus images where the out-of-focus area are overlapped that the fused image has the better human visual effect. This method first fuses two out-of-focus images and locates the overlapped out-of-focus area, then it matches pixels by using two level dynamic matching algorithm, and

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(9187466), Bharath Kumar Comandur Jagannathan Raghunathan. "Semantic Labeling of Large Geographic Areas Using Multi-Date and Multi-View Satellite Images and Noisy OpenStreetMap Labels." Thesis, 2020.

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<div>This dissertation addresses the problem of how to design a convolutional neural network (CNN) for giving semantic labels to the points on the ground given the satellite image coverage over the area and, for the ground truth, given the noisy labels in OpenStreetMap (OSM). This problem is made challenging by the fact that -- (1) Most of the images are likely to have been recorded from off-nadir viewpoints for the area of interest on the ground; (2) The user-supplied labels in OSM are frequently inaccurate and, not uncommonly, entirely missing; and (3) The size of the area covered on the gro

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Xu, Shaojuan. "Open geospatial data fusion and its application in sustainable urban development." Doctoral thesis, 2020. https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-202007173335.

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This thesis presents the implementation of data fusion techniques for sustainable urban development. Recently, increasingly more geospatial data have been made easily available for no cost. The immeasurable quantities of geospatial data are mainly from four kinds of sources: remote sensing satellites, geographic information systems (GIS) data, citizen science, and sensor web. Among them, satellite images have been mostly used, due to the frequent and repetitive coverage, as well as the data acquisition over a long time period. However, the rather coarse spatial resolution of e.g. 30 m for Land

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