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Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images
Ge Zhang, Shaohui Mei, Mingyang Ma +2
Spectral unmixing (SU) expresses the mixed pixels existed in hyperspectral images as the product of endmember and abundance, which has been widely used in hyperspectral imagery ana…
Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network
Yunhao Gao, Feng Gao, Junyu Dong +2
Synthetic aperture radar (SAR) image change detection is a critical yet challenging task in the field of remote sensing image analysis. The task is non-trivial due to the following…
Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification
Shujun Yang, Junhui Hou, Yuheng Jia +2
In this paper, we propose a novel classification scheme for the remotely sensed hyperspectral image (HSI), namely SP-DLRR, by comprehensively exploring its unique characteristics,…
Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network
Xiaofan Qu, Feng Gao, Junyu Dong +2
Change detection from synthetic aperture radar (SAR) imagery is a critical yet challenging task. Existing methods mainly focus on feature extraction in spatial domain, and little a…
Remote Sensing Image Translation via Style-Based Recalibration Module and Improved Style Discriminator
Tiange Zhang, Feng Gao, Junyu Dong +1
Existing remote sensing change detection methods are heavily affected by seasonal variation. Since vegetation colors are different between winter and summer, such variations are in…