DEEP NO LEARNING APPROACH FOR UNSUPERVISED CHANGE DETECTION IN HYPERSPECTRAL IMAGES

7 citations as recorded by crossref.

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2. BDA-Net: a novel object detection framework for post-disaster damage assessment using semi-supervised learning and attention mechanisms K. Ahmadi et al.
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4. TuckerNet: A Multilayer Unsupervised Hyperspectral Change Detection Framework With Tensor Decomposition Q. Wu et al.
5. A New Structure for Binary and Multiple Hyperspectral Change Detection Based on Spectral Unmixing and Convolutional Neural Network S. Seydi & M. Hasanlou
6. A Superpixel-by-Superpixel Clustering Framework for Hyperspectral Change Detection Q. Li et al.
7. Low complexity block tree coding for hyperspectral image sensors S. Bajpai