面向对象遥感图像森林分类研究进展

Study Progress on Forest Classification of Object-oriented Remote Sensing Images

介绍面向对象森林分类的背景,综述森林分类的理论和方法,概述面向对象遥感图像森林分类研究进展,分析其目前尚存在着影像自动识别困难、图像阴影去除困难、优势树种识别困难及分类精度偏低等问题,并展望了发展趋势。

The background of the object-oriented forest classification is introduced, theory and method of forest classification are summarized, the current situation of the classification of inside and outside is overviewed, and the forest classification problems such as the image automatic identification difficulties, the image shadow removal difficult, dominant tree species identification difficult and the low classification accuracy are analyzed, and future development trend also has been put forward .