摘要
传统植被信息提取的信息源多以TM/ETM+等影像为主,在如何应用Landsat8影像提取高精度的植被信息方面研究较匮乏。针对上述问题,该文应用大理市Landsat8影像开展了植被信息提取方法研究。研究过程中通过对原始波段组合法、主成分分量组合法、衍生波段组合法、直接解译法提取结果进行对比分析,确定最佳波段组合;之后将纹理信息作为最佳波段组合影像新的波段,与光谱信息一同分类,并对结果进行分析。研究结果表明,添加纹理能够在一定程度上提高植被信息提取的精度。
The information sources of traditional vegetation information extraction are mostly from TM/ETM＋ and other images, and there is few research on how to use Landsat 8 image to extract high precision vegetation information. Aiming at the above-mentioned problem, this paper carried out research on extracting vegetation information by using Dali Landsat 8 image. In the process of research, the best band combination was determined through the comparison and analysis of the extraction results of original band combination, principal components combination, derivative band combination and direct interpretation method. Being regarded as a new band of the best band combination image, the texture information was classified together with the spectral information, and the results were analyzed. The results showed that adding texture could improve the accuracy of the extraction of vegetation information to a certain extent.
出处
《测绘科学》
CSCD
北大核心
2016年第10期126-131,158,共7页
Science of Surveying and Mapping
基金
国家自然科学基金项目(41501593)
国土资源部公益性行业科研专项(201311001-5)
中国博士后科学基金项目(2015M581163)
