基于AISA Eagle II机载高光谱数据的普洱市山区森林分类

Mountain Forest Classification based on AISA Eagle II Hyperspectral Data

山区森林的精细分类一直是遥感研究的一个难点,而利用高光谱技术识别地物和树种具有巨大潜力。山区的AISA Eagle II机载高光谱数据需经过大气校正和地形辐射校正后才能获得准确的树种光谱信息。采用Support Vector Machine(SVM)方法对山区森林按照森林类型以及树种进行分类,分类结果与实测样地数据和CCD高分辨率影像验证表明:利用AISA Eagle II机载高光谱数据对试验区的森林类型区分具有较好的分类结果,总体精度为97.74%;在树种分类方面也同样具有不错的分类潜力,总体精度为92.11%,但在阔叶树种间存在错分、漏分的现象。

Accurate classification of mountain forests have always challenged the remote sensing research,however,hyperspectral techniques to identify ground objects and classify tree species have the great research potential. The AISA Eagle II airborne hyperspectral data used in mountain area needs atmospheric correction and topographic radiance correction to get the real spectral characteristic of tree species. By using support Vector Machine（SVM） approach to classify forest types or tree species of mountain forests,the accuracy of classification is test by the field plots data and CCD high resolution images. The results show that the classification of forest types in study area can obtain high accuracy by using AISA Eagle II airborne hyperspectral data,overall accuracy could reach to 97. 74%. The overall accuracy of tree species classification is up to 92. 11%,but some wrong and omission errors are happened when used in broad leave species classification.