基于、的特征提取方法, 研究、算法的多角度分类器设计问 题在对图像进行主成分分析和独立成分分析后, 针对多姿态角目标识别问题, 提出了角度优先粗分 类的设计方法, 并给出系统流程, 最后-Based, feature extraction methods, research, multi-angle algorithms classifier design problem in the image principal component analysis and independent

一个溢油检测算法，先检测暗区目标，再进行特征提取，然后分类识别-We present algorithms for automatic detection of oil spills in synthetic aperture radar (SAR) images. The algorithms consist of three main parts, namely: 1) detection of dark spots 2) feature extraction from the

地学中，对于高分辨率遥感影像分类以及特征提取中案例推理在地学中的发展以及应用-Geology, for high-resolution remote sensing image classification and feature extraction in case-based reasoning and application development in Earth Science