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Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs

M. Vakalopoulou, C. Platias, M. Papadomanolaki, N. Paragios, K. Karantzalos
2016 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
In this paper, a novel generic framework has been designed, developed and validated for addressing simultaneously the tasks of image registration, segmentation and change detection from multisensor, multiresolution  ...  , multitemporal satellite image pairs.  ...  ACKNOWLEDGMENTS The authors would like to thank Deimos Imaging for acquiring and providing the data used in this study, and the IEEE GRSS Image Analysis and Data Fusion Technical Committee. 6.  ... 
doi:10.1109/igarss.2016.7729469 dblp:conf/igarss/VakalopoulouPPP16 fatcat:eoxxfwkrlfgp7ohxsjekfpr5li

Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest

L. Mou, X. Zhu, M. Vakalopoulou, K. Karantzalos, N. Paragios, B. Le Saux, G. Moser, D. Tuia
2017 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
The second place team proposed a random field model to simultaneously perform coregistration of multitemporal data, semantic segmentation, and change detection.  ...  The 2016 Contest was an open topic competition based on a multitemporal and multimodal dataset, which included a temporal pair of very high resolution panchromatic and multispectral Deimos-2 images and  ...  ACKNOWLEDGMENT The authors would like to express their greatest appreciation to Deimos Imaging and Urthecast, for acquiring and providing the data used in the competition and for indispensable contribution  ... 
doi:10.1109/jstars.2017.2696823 fatcat:v2ilmcthqbcdffsberu72ctxlu

A feature-based image registration algorithm using improved chain-code representation combined with invariant moments

Xiaolong Dai, S. Khorram
1999 IEEE Transactions on Geoscience and Remote Sensing  
from the two images.  ...  In this paper, a new feature-based approach to automated image-to-image registration is presented.  ...  Snyder and G. L. Bilbro of the Department of Electrical and Computer Engineering and J.  ... 
doi:10.1109/36.789634 fatcat:e3o3fo2bdzahxc3m6h6xqy7xge

Monitoring the Recovery after 2016 Hurricane Matthew in Haiti via Markovian Multitemporal Region-Based Modeling

Andrea De Giorgi, David Solarna, Gabriele Moser, Deodato Tapete, Francesca Cigna, Giorgio Boni, Roberto Rudari, Sebastiano Bruno Serpico, Anna Rita Pisani, Antonio Montuori, Simona Zoffoli
2021 Remote Sensing  
simultaneously challenging from a processing viewpoint.  ...  The availability of very high resolution images provided by last-generation satellite synthetic aperture radar (SAR) and optical sensors makes this analysis promising from an application perspective and  ...  These techniques allow simultaneously performing change detection and change classification on multitemporal time series of images.  ... 
doi:10.3390/rs13173509 fatcat:drmmajenifcz5ltgtebqtfhike

Multimodal Classification of Remote Sensing Images: A Review and Future Directions

Luis Gomez-Chova, Devis Tuia, Gabriele Moser, Gustau Camps-Valls
2015 Proceedings of the IEEE  
feature extractions; 5) multitemporal image classification of land covers in incomplete, inconsistent and vague image sources; 6) spatio-spectral multisensor fusion of optical and radar images for change  ...  detection and; 7) cross-sensor adaptation of classifiers.  ...  ACKNOWLEDGEMENTS The authors would like to thank DigitalGlobe Inc. for the optical data on Rio and Haiti, and the Italian Space Agency for the SAR data on Haiti.  ... 
doi:10.1109/jproc.2015.2449668 fatcat:gaficd2bcrbshcrds3a2wfa25a

A Novel Coarse-to-Fine Scheme for Automatic Image Registration Based on SIFT and Mutual Information

Maoguo Gong, Shengmeng Zhao, Licheng Jiao, Dayong Tian, Shuang Wang
2014 IEEE Transactions on Geoscience and Remote Sensing  
The proposed algorithm is tested on various remote sensing optical and synthetic aperture radar images taken at different situations (multispectral, multisensor, and multitemporal) with the affine transformation  ...  Automatic image registration is a vital yet challenging task, particularly for remote sensing images. A fully automatic registration approach which is accurate, robust, and fast is required.  ...  ACKNOWLEDGMENT The authors would like to thank the editors and anonymous reviewers for their valuable comments and helpful suggestions which greatly improved this paper's quality.  ... 
doi:10.1109/tgrs.2013.2281391 fatcat:44yf3mlz7zhmbjelkm72hr57by

Remote Sensing Image Registration Techniques: A Survey [chapter]

Suma Dawn, Vikas Saxena, Bhudev Sharma
2010 Lecture Notes in Computer Science  
Image Registration is the first step towards using remote sensed images for any purpose.  ...  Despite numerous techniques being developed for image registration, only a handful has proved to be useful for registration of remote sensing images due to their characteristic of being computationally  ...  Automatic Registration of Remote-Sensing Images (ARRSI), an automatic registration system built to register multimodal and multitemporal satellite and aerial remotely sensed images was developed by Wong  ... 
doi:10.1007/978-3-642-13681-8_13 fatcat:52sbajz7cff2bjrxz5mr2h2cem

Review article Multisensor image fusion in remote sensing: Concepts, methods and applications

C. Pohl, J. L. Van Genderen
1998 International Journal of Remote Sensing  
With the availability of multisensor, multitemporal, multiresolution and multifrequency image data from operational Earth observation satellites the fusion of digital image data has become a valuable tool  ...  This review paper describes and explains mainly pixel based image fusion of Earth observation satellite data as a contribution to multisensor integration oriented data processing.  ...  SAR multitemporal for change detectionmultisensor -temporal (Pohl and Genderen 1995) , e.g.  ... 
doi:10.1080/014311698215748 fatcat:utxyrkhnwna7bmcneg6vdaks3a

Problems in remote sensing of landscapes and habitats

Kai Wang, Steven E. Franklin, Xulin Guo, Yuhong He, Gregory J. McDermid
2009 Progress in physical geography  
This article attempts to identify the current challenges and opportunities in remote sensing for large-area wildlife habitat mapping, and accordingly provide possible solutions and directions for further  ...  Remote sensing has long been identifi ed as a feasible and effective technology for large-area habitat mapping.  ...  Acknowledgements The authors would like to acknowledge the fi nancial support of the Foothills Research Institute Grizzly Bear Program (FRIGBP) and the Department of Geography and Planning of the University  ... 
doi:10.1177/0309133309350121 fatcat:dvi27zarzbgo7f5xsevbcpnsee

Image fusion techniques for remote sensing applications

G. Simone, A. Farina, F.C. Morabito, S.B. Serpico, L. Bruzzone
2002 Information Fusion  
to the fusion of multisensor and multitemporal (Landsat Thematic Mapper and SAR) images of the same site acquired at different times, by using neural networks; the third one presents a processor to fuse  ...  Introduction Remote sensing [1] is a science with applications ranging from civilian to surveillance and military. Remote sensing systems measure and record data about a scene.  ...  For instance, multitemporal radar images [1, 8, 9] of the same scene are needed to detect changes that occur in the considered scene between two or more observations; multidimensional images, provided  ... 
doi:10.1016/s1566-2535(01)00056-2 fatcat:pofnphg4cfhvbm5ncd24dvfwom

Automated Coregistration of Multisensor Orthophotos Generated from Unmanned Aerial Vehicle Platforms

Youkyung Han, Jaewan Choi, Jinha Jung, Anjin Chang, Sungchan Oh, Junho Yeom
2019 Journal of Sensors  
Image coregistration is a key preprocessing step to ensure the effective application of very-high-resolution (VHR) orthophotos generated from multisensor images acquired from unmanned aerial vehicle (UAV  ...  To address this problem, this paper presents an automated coregistration approach for orthophotos generated from VHR images acquired from multisensors mounted on UAV platforms.  ...  The targets, whose ground coordinates have already been measured by global navigation satellite system-(GNSS-) based surveying, are detected in the images, and a transformation function is estimated for  ... 
doi:10.1155/2019/2962734 fatcat:j4el2v6dpna5fcz5gzq3jemwo4

Multiresolution registration of remote sensing imagery by optimization of mutual information using a stochastic gradient

A.A. Cole-Rhodes, K.L. Johnson, J. LeMoigne, I. Zavorin
2003 IEEE Transactions on Image Processing  
We limit our study to pairs of images, which are misaligned by rotation and/or translation, and present two main results.  ...  Then, we show that the stochastic gradient search combined with either measure produces accurate results when applied to synthetic, as well as multitemporal or multisensor collections of satellite data  ...  A drawback of these algorithms lies in the difficulty of recognizing matched features in the images, and they require the use of reliable and robust algorithms for image segmentation and edge detection  ... 
doi:10.1109/tip.2003.819237 pmid:18244705 fatcat:a6pzh72g55hxpj2fnd7y272dsm

Deep Learning-Based Change Detection in Remote Sensing Images: A Review

Ayesha Shafique, Guo Cao, Zia Khan, Muhammad Asad, Muhammad Aslam
2022 Remote Sensing  
Images gathered from different satellites are vastly available these days due to the fast development of remote sensing (RS) technology.  ...  These images significantly enhance the data sources of change detection (CD).  ...  Acknowledgments: The authors truly appreciate the helpful remarks and constructive ideas provided by the academic editors and reviewers.  ... 
doi:10.3390/rs14040871 fatcat:myyprcrcyzh6fhjz5ggqdc5e54

2014 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 7

2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., and Foerster, S  ...  ., +, JSTARS Dec. 2014 4784-4792 Image registration A Stable Land Cover Patches Method for Automatic Registration of Multitemporal Remote Sensing Images.  ...  ., +, JSTARS Aug. 2014 3358-3372 Detection of Multitransition Abrupt Changes in Multitemporal SAR Images.  ... 
doi:10.1109/jstars.2015.2397347 fatcat:ib3tjwsjsnd6ri6kkklq5ov37a

Change detection from remotely sensed images: From pixel-based to object-based approaches

Masroor Hussain, Dongmei Chen, Angela Cheng, Hui Wei, David Stanley
2013 ISPRS journal of photogrammetry and remote sensing (Print)  
The data from remote sensing satellites provide opportunities to acquire information about land at varying resolutions and has been widely used for change detection studies.  ...  Finally there is a brief discussion of spatial data mining techniques in image processing and change detection from remote sensing data. The merits and issues of different techniques are compared.  ...  Acknowledgement This research is supported by a grant from the Natural Sciences and Engineering Research Council (NSERC) of Canada.  ... 
doi:10.1016/j.isprsjprs.2013.03.006 fatcat:dl2bpktsibbdxkdzw5dpbaop5i
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