remote sensing image interpretation

基本解释

A hierarchical object detection method based on vision saliency was proposed for automatic remote sensing image interpretation.
针对遥感图像自动判读的应用场景，提出了一种基于视觉显著性的分层目标检测方法。
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Multi-kernel SVM is therefore an effective approach to improve the accuracy of hyperspectral image classification and to expand possibilities for remote sensing image interpretation and application.
当设计多核支持向量机分类器时，主成分变换后的前四主成分和小波纹理组合的分类精度最高，是一种有效的分类方法。
Practice indicates that it is very feasible to apply the remote sensing image geological interpretation and image dynamic analysis methods to remote sensing geoscience research.
实践表明：将遥感影像地质解译三维可视化用于遥感地学研究是可行的。