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Semantic-Guided Fusion Network for Multi-Source Remote Sensing Image Classification
Yuwei Zhao, Chuanzheng Gong, Baogui Huan +3
Multi-source remote sensing image classification has attracted increasing attention due to the complementary spectral, structural, and geometric information. However, existing meth…
Axial-Relation Guided Fusion State Space Model for Optical-Elevation Sensing Image Segmentation
Feng Gao, Zhilin Jin, Yanhai Gan +2
Semantic segmentation of multi-source remote sensing images is a fundamental task for Earth observation applications. Existing methods often struggle with insufficient multi-scale…
Synthetic Aperture Radar Image Change Detection Based on Global Dynamic Context-Aware Network
Baogui Huan, Chuanzheng Gong, Dezhong Chen +3
Convolutional neural networks (CNNs) have been extensively and successfully applied to the task of synthetic aperture radar (SAR) image change detection. However, conventional conv…
Spectral Dynamic Attention Network for Hyperspectral Image Super-Resolution
Tengya Zhang, Feng Gao, Lin Qi +2
Hyperspectral image super-resolution is essential for enhancing the spatial fidelity of HSI data, yet existing deep learning methods often struggle with substantial spectral redund…
Representative Spectral Correlation Network for Multi-source Remote Sensing Image Classification
Chuanzheng Gong, Feng Gao, Junyan Lin +2
Hyperspectral image (HSI) and SAR/LiDAR data offer complementary spectral and structural information for land-cover classification. However, their effective fusion remains challeng…
Enhancing Underwater Images via Adaptive Semantic-aware Codebook Learning
Bosen Lin, Feng Gao, Yanwei Yu +2
Underwater Image Enhancement (UIE) is an ill-posed problem where natural clean references are not available, and the degradation levels vary significantly across semantic regions.…