Land Classification Method and Analysis Based on Remote Sensing Technology

Abstract

In recent years, the research about land utilization changing already became one of the research about global changing's key topics, the land utilization classification, as its sub-topic, also attract men's high attention. Remote Sensing (RS) and the Geographic Information System (GIS) as the two big spatial technology tool to support modern geography, their union arouses people's universal interest and research. Because the remote sensing information has the advantage of covering wide area, timeliness and current situation, quick speed, short cycle and reliable accurate as well as time-saving, effort-saving, low status merit expense, it is widely used in the land resource and land utilization situation investigation at present, land utilization change monitor and so on. This paper discusses land utilization classification based on remote sensing technology. Taking the Xinjiang Kulja county bureau department area remote sensing images as the basic information, and using ERDAS IMAGINE, this paper discusses non-supervised classification and supervised classification methods. The results show that remote sensing technology applies to land utilization situation and land classification, which has reference value.