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Original Articles

Change detection of isolated housing using a new hybrid approach based on object classification with optical and TerraSAR-X data

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Pages 9621-9635 | Received 03 May 2010, Accepted 17 Jan 2011, Published online: 19 Aug 2011

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Joao G. Vinholi, Bruna G. Palm, Danilo Silva, Renato Machado & Mats I. Pettersson. (2022) Change Detection Based on Convolutional Neural Networks Using Stacks of Wavelength-Resolution Synthetic Aperture Radar Images. IEEE Transactions on Geoscience and Remote Sensing 60, pages 1-14.
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Lu Jia, Ming Li, Peng Zhang & Yan Wu. (2016) SAR Image Change Detection Based on Correlation Kernel and Multistage Extreme Learning Machine. IEEE Transactions on Geoscience and Remote Sensing 54:10, pages 5993-6006.
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Lu Jia, Ming Li, Yan Wu, Peng Zhang, Gaofeng Liu, Hongmeng Chen & Lin An. (2015) SAR Image Change Detection Based on Iterative Label-Information Composite Kernel Supervised by Anisotropic Texture. IEEE Transactions on Geoscience and Remote Sensing 53:7, pages 3960-3973.
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Biswajeet Pradhan, Ulrike Hagemann, Mahyat Shafapour Tehrany & Nikolas Prechtel. (2014) An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image. Computers & Geosciences 63, pages 34-43.
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Yunxiao Luo, Shuhe Zhao, Hongkui Zhou, An Wang, Kexun He & Lei Tan. (2012) A novel classification method based on texture analysis using high-resolution SAR and optical data. A novel classification method based on texture analysis using high-resolution SAR and optical data.

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