Deep learning-based algorithms have seen a massive popularity in different areas of remote
sensing image analysis over the past decade. Recently, transformer-based architectures …

In recent years, deep learning has significantly reshaped numerous fields and applications,
fundamentally altering how we tackle a variety of challenges. Areas such as natural …

Ship detection from synthetic aperture radar (SAR) remote sensing images is essential for
monitoring water traffic and marine safety. Numerous methods for ship detection have been …

Object detection is a fundamental task in remote sensing image analysis and scene
understanding. Previous remote sensing object detectors are typically based on …

Water detection from SAR imagery has significant values, such as the flood monitoring and
environmental protection. Nowadays, significant progress has been achieved in water …

合成孔径雷达(SAR) 采用相干成像机制, 具有全天时, 全天候成像的独特优势.
飞机目标作为一种典型高价值目标, 其检测与识别已成为SAR 图像解译领域的研究热点. 近年来 …

The natural terrain (eg, farm and forest) in temperate zones changes dramatically between
seasons due to distinct temperatures and precipitation variations from summer to winter …

ABSTRACT Earthquake Triggered Landslides (ETLs) are serious secondary hazards of
earthquakes, causing severe casualties and property losses, and their rapid, automated and …

High-precision remote sensing image object detection has broad application prospects in
military defense, disaster emergency, urban planning, and other fields. The arbitrary …

Since significant intraclass differences and inconspicuous interclass variations, fine-grained
aircraft detection in synthetic aperture radar (SAR) images is challenging. Also, the inherent …