| 渝西地区多时期地表覆盖遥感信息提取 |
| |
| 引用本文： | 唐艳,何政伟,贾东力.渝西地区多时期地表覆盖遥感信息提取[J].测绘与空间地理信息,2013(12):38-41,45. |
| |
| 作者姓名： | 唐艳 何政伟 贾东力 |
| |
| 作者单位： | [1]成部理工大学旅游与城乡规划学院,四川成都610059 [2]地质灾害防治与地质环境保护国家重点实验室,四川成都610059 [3]成部理工大学地球物理学院,四川成都610059 |
| |
| 基金项目： | 国家自然科学基金资助项目（40972225）;国家科技支撑计划资助项目（2008BAK49802）;成都理工大学青年科学基金资助项目（2010QJ08）资助 |
| |
| 摘 要： | 近年来，随着遥感技术的不断发展，利用遥感技术开展土地覆盖信息的提取工作已经变得越来越普遍。本文主要利用遥感技术进行土地覆盖信息的提取，为后续土地信息的分析调查提供了有利的数据。此次研究选取了渝西地区作为研究区，使用TM／ETM遥感图像作为基础数据。在提取覆盖信息之前，首先，采用遥感图像处理技术，对研究区进行了图像预处理；接着，对研究区四种地类进行采样处理，利用得到的采样数据，对研究区的遥感图像进行了光谱分析；最后，进行监督分类得到覆盖信息的明显特征，可以看出建筑用地在明显增多。并对分类结果进行精度评价，得到最后结论，可以看出每一时期的总分类精度都在85％以上，符合分类要求。
|
| 关 键 词： | 渝西地区 遥感 覆盖信息提取 分析 |
Extraction of Landcover Information from Multi - Condition Remote Sensing Images at Western Area of Chongqing |
| |
| Institution: | TANG Yah , HE Zheng - wei, JIA Dong - li ( 1. College of Tourism and Urban - Rural Planning, Chengdu University of Technology, Chengdu 610059, China; 2. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu 610059, China; 3. College of Geophysics, Chengdu University of Technology, Chengdu 610059, China) |
| |
| Abstract: | In recent years, with the development of the technology of remote sensing, it becomes more and more common using remote sensing to extract land cover information. This paper mainly uses remote sensing technology to extract land cover information, which provides some beneficial data for later mining work. This paper selects western area of Chongqing as study area and uses TM/ETM re- mote sensing images as basic data. Before extracting land cover information, firstly it uses remote sensing image processing technology to do the remote sensing images pretreatment. After that, it uses samples about the four feature types of study area. Then using the sample data to spectrum analysis on the remote sensing images of study area, we can get features of land cover information. After su- pervised classification,it can be seen in the apparent increase in building land. Finally, by evaluating the results of supervised classi- fication, we can get the consequence, which can be seen that the overall classification accuracy of each period is more than 85%, meeting the classification requirements. |
| |
| Keywords: | western area of Chongqing remote sensing extraction of landcover information analysis |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
