[1]卫建军,李新平,赵东波,等.混合像元分离的研究进展[J].水土保持研究,2006,13(05):103-105.
　WEI Jian-jun,LI Xin-ping,ZHAO Dong-bo,et al.Review on Un-mixing Mixed-pixel of Remotely Sensed Data[J].Research of Soil and Water Conservation,2006,13(05):103-105.
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混合像元分离的研究进展

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 13 期数: 2006年05期 页码: 103-105 栏目: 出版日期: 1900-01-01
Title:
Review on Un-mixing Mixed-pixel of Remotely Sensed Data
作者:
卫建军1, 李新平1, 赵东波1, 梁伟1,2
1. 西北农林科技大学资源与环境学院;
2. 中国科学院水利部水土保持研究所, 陕西, 杨陵, 712100
Author(s):
WEI Jian-jun1, LI Xin-ping1, ZHAO Dong-bo1, LIANG Wei1,2
1. College of Resources and Environment, Northwest Sci-tech University of Agriculture and Forestry;
2. Institute of Soil and Water Conservation, Chinese Academy of Sciences, Yangling, Shaanxi, 712100, China
关键词:
遥感; 混合像元; 分解模型
Keywords:
remote sensing; mixed-pixel; un-mixing model
分类号:
TP79
摘要:
遥感成像中混合像元的产生是不可避免的,它的存在严重影响了遥感影像的解译精度,是传统的像元级遥感分类和面积量测精度难以达到实用要求的主要原因.介绍了混合像元存在的普遍性及对其研究的重要性,重点阐述了线性模型、概率模型、几何光学模型等几种分离方法及其它们各自的特点并对它们目前存在的不足和以后要重点研究的内容进行了讨论.最后,指出了现有研究的不足并对今后研究的重点问题给出了建议.
Abstract:
The remotely sensed image often has many mixed-pixels,which is one of the important reasons for low interpretation accuracy.Also,it is the main reason that the normal classification based on pixel and area measure accuracy can not meet our needs.The universality of the mixed-pixel and the importance of studying on it is presented.Especially illustrates linear,probabilistic,geometric-optical model and several techniques for un-mixing the mixed-pixel.Finally,the authors think it is not enough for the recent research and give advice on the advanced study in the future.

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备注/Memo

收稿日期:2006-6-5。
作者简介:卫建军(1981- ),男,在读硕士,主要研究方向:GIS与遥感的应用.

更新日期/Last Update: 1900-01-01