摘要
利用空间分辨率分别为2.5 m的全色和10 m的多光谱SPOT-5影像展开示范,详细介绍了遥感解译软件ENVI对土地利用信息进行提取、解译和制图的过程,共解译6种地类、图斑87 363 977个、面积444.56 km2,解译中发现影像融合方法受影像本身特征、地物分布不均、地类光谱特征等因素影响而存在差异,其中Gram-Schmidt变换方法在高分辨率影像上表现力较好。
The paper adopts multi-spectral data SPOT-5 images with spatial resolutions of 2.5 m high spatial pan and 10 m, mainly introduces the remote sensing mapping software ENVI to extract, interpret and map the land with information, interprets 6 land types and 87 363 977 pattern spots, and 444.56 km^2 coverage, and finds image fusion method has some differences by factors including image features, uneven distribution, and features of land type spectrum, and indicates the Gram-Schmidt conversion method is reflected better in high resolution image.
出处
《山西建筑》
2015年第7期257-258,共2页
Shanxi Architecture
关键词
遥感
ENVI
光谱特征
影像
remote sense, ENVI, spectrum feature, image
