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遥感作为近几十年迅速发展起来的一门综合性技术学科,己经在许多领域发挥了重大作用。通过对遥感数据进行专题分类处理以得到土地利用等专题信息是遥感最广泛的应用领域之一。尽管土地利用遥感分类方法不断发展,但分类技术始终跟不上遥感技术本身的发展。本论文的主要目标之一就是以沈阳矿区为研究区,利用多源遥感数据结合地面实地调查,围绕遥感图像,采用常规的最大似然分类法,同时采用选用决策树分类方法,对不同数据源得到的信息进行综合分析,充分利用其中的光谱信息、地学知识以及人的经验知识进行土地利用分类,从而更好地为地方土地有效利用提供决策依据。
As a comprehensive technology discipline that has been rapidly developed in recent decades, remote sensing has played a significant role in many fields. It is one of the most widely used fields of remote sensing through thematic classification processing of remote sensing data to obtain thematic information such as land use. Although the land use classification method of remote sensing has been developing continuously, the classification technology can not keep up with the development of remote sensing technology. In this paper, one of the main objectives of this paper is to take Shenyang mining area as the research area, the use of multi-source remote sensing data combined with ground-based field surveys, around the remote sensing images, using the conventional maximum likelihood classification method, using the decision tree classification method, The comprehensive analysis of the information obtained, and make full use of the spectral information, geo-knowledge and human experience to land use classification, so as to better provide the basis for decision-making for the effective use of local land.