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

Shadow removal is a critical step in preprocessing high-resolution aerial remote sensing
images. The presence of shadows reduces the information in high-resolution aerial remote …

Urban shadow areas, formed by long-term unbalanced and inadequate development during
the rapid process of urbanization, are of great significance to a city's overall development …

The paper outlines a pipeline for the removal of transient objects from orthophotos to
enhance the clarity and utility for orthophotos in military and civilian geo-databases …

Shadows degrade image quality and complicate interpretation, underscoring the importance
of accurate shadow detection for many image analysis tasks. However, due to the complex …

摘要针对偏振光谱图像融合方法在地物混杂背景遥感探测中多尺度变换融合图像存在边缘轮廓
细节模糊, 对比度不佳的问题, 提出一种基于非下采样轮廓波变换的稀疏表示与引导滤波器相 …

In this paper, k-means and fuzzy c-means (FCM) algorithms have been used as it is efficient
in grouping based on classified data points. Then ant colony optimization (ACO) and …

In airborne remote sensing data, detecting and removing shadows for accurate land cover
classification is important. Shadows can obscure features and distort surface appearance …