Classification of urban land use and land cover is vital to many applications, and naturally
becomes a popular topic in remote sensing. The finite information carried by unimodal data …

Optical and synthetic aperture radar (SAR) image matching presents a formidable challenge
due to their pronounced geometric and radiometric distinctions arising from multimodality …

The registration of multimodal satellite images is essential for a prerequisite for accruing
complementary observational data. Nevertheless, the differential imaging nuances amongst …

Registration of multi-modal remote sensing images (MRSI) is crucial for unlocking the full
potential of heterogeneous remote sensing imagery. However, achieving accurate …

Multispectral remote sensing image-based sea fog detection (SFD) is both important and
challenging. Deep learning methods for SFD have become mainstream due to their powerful …

Synthetic aperture radar (SAR) and optical imagery are complementary methods in Earth
observation. However, traditional similarity measures struggle to accurately align these …

For Synthetic Aperture Radar (SAR) image registration, successive processes following
feature extraction are required by both the traditional feature-based method and the deep …

Ensuring safety at sea has become a primary focus of marine monitoring, driving the
increasing adoption of ship detection technology in the maritime industry. Detecting small …

随着高分辨率合成孔径雷达(SAR) 卫星的陆续发射, 对天气条件多变的海岛区域进行全天候,
全时段的高精度观测已变得可行. 作为多种遥感应用的关键前置步骤**射校** …