首页 >  2009, Vol. 13, Issue (2) : 320-326

摘要

全文摘要次数: 4439 全文下载次数: 5753
引用本文:

DOI:

10.11834/jrs.20090255

收稿日期:

修改日期:

PDF Free   HTML   EndNote   BibTeX
北京1号小卫星监测非正规垃圾场的应用研究
1.中国科学院遥感应用研究所,北京 100101;2.中国科学院遥感应用研究所,北京 100101;3.中国科学院研究生院,北京 100049;4.北京宇视蓝图信息技术有限公司,北京 100096
摘要:

以北京市平原区为研究区域,利用北京1号卫星(Beijing-1)融合数据,研究了非正规垃圾场的影像特征,建立了非正规垃圾场在小卫星影像上的判读标志,通过人机交互和计算机自动检测方法对北京地区的非正规垃圾场进行了判读分析和变化检测试验研究.验证发现:利用Beijing-1小卫星的全色和多波段融合影像对非正规垃圾场的识别精度可达90.3%;由于非正规垃圾场影像特征的不确定性,计算机自动变化检测方法不能替代人机交互判读,但可提高人机交互识别变化的效率.

Study on monitoring of informal open-air solid waste dumps based on Beijing-1 images
Abstract:

Due to urbanization increasing, the quantity of solidwastes inBeijing is increasing rapidly and leads to large numbers of informal solid wastes dumps. Solid wastes in these sites are usually dumped in the open air without certain environmental conservationmeasures, which influence the urban environment and human healthy badly.It is absolutely necessary tomonitor these dumps in order to take some effectivemeasurements to dispose them. Remote sensing technology can provide a rapid and effective way to identify and monitor the dumps, owning to its characteristics of objectivity, real-time and macro-scope view.With high spatial resolution, high frequency of revisiting and broad coverage range, Beijing-1M icrosatellite image is an importantdata source forurban environmentmonitoring. Taking the flatplain area ofBeijing as study site, this paper establishes the interpretation keys of informalopen-air solidwaste dumps through studying theircharacteristics based onBeijing-1fusion images. Via visual interpretation and automatic change detectionmethods, the authors studies the location and change of the open-air solidwaste dumps. Compared with the field investigation data, it shows high accuracy (about90.3% ) of the indoor visual interpretation result using Beijing-1 images. However, on accountof the uncertainty of the solidwaste dumps characteristics, automatic change detectionmethod can just be utilized to decrease thework ofvisual interpretation to find the location instead of replacing itcompletely.

本文暂时没有被引用!

欢迎关注学报微信

遥感学报交流群