国土资源遥感Issue(2)：92-97,6.DOI:10.6046/gtzyyg.2012.02.17
基于TM图像的农业区域植被覆盖变化检测
Vegetation Cover Change Detection in the Cropping Area Based on TM Image
摘要
Abstract
In this paper, a change intensity indicator of land cover based on cross correlogram spectral matching (CCSM) technique was employed to generate the change intensity image of the cropping vegetation cover area in North China between two TM images in different periods. It was first considered that the change intensity of image pixel of the two - order neighbor in the change intensity image obeyed the hidden markov random field model, and then the vegetation cover change area was extracted from the change intensity image using maximum a posteriori estimation of markov random field (MRF - MAP) model. The experiment has proved that the proposed method could precisely extract vegetation cover change and inhibit effectively the same object with different spectra due to exogenous noises in the cropping vegetation cover area. However, this method seems to perform unsatisfactorily over the water area.关键词
植被覆盖/变化检测/交叉相关光谱匹配(CCSM)/交叉相关系数/隐马尔可夫随机场模型Key words
vegetation cover/change detection/cross correlogram spectral matching (CCSM)/cross - correlation coefficient/hidden markov random field model分类
信息技术与安全科学引用本文复制引用
王晓东,何浩,侯东,孙冠楠,朱文泉..基于TM图像的农业区域植被覆盖变化检测[J].国土资源遥感,2012,(2):92-97,6.基金项目
国家高技术研究发展计划项目(编号:2006AA120101)和国家自然科学基金项目(编号:40871191)共同资助. （编号:2006AA120101）
