基于蚁群算法的光谱分解方法剔除植被干扰信息

夏浩东; 薛云; 邓会娟; 刘凤姣

基于蚁群算法的光谱分解方法剔除植被干扰信息

1.
国土资源部实物地质资料中心, 河北三河 065201
2.
湖南城市学院城市建设系, 湖南益阳 413000

详细信息

作者简介:
夏浩东(1968-), 男, 高级工程师, 主要从事地质矿产勘查与实物地质资料管理工作。E-mail:xiahaodong68@163.com

中图分类号: P627
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- 被引次数: 0
出版历程
- 收稿日期: 2011-10-09
- 刊出日期: 2012-03-28

ELIMINATING THE DISTURBANCE OF VEGETATION INFORMATION BY SPECTRAL MIXTURE ANALYSIS BASED ON ANT COLONY ALGORITHM

1.
Cores & Samples Centre of Land & Resources, Sanhe 065201, China
2.
Hunan City University, Yiyang 413000, China

摘要

摘要: 针对遥感图像预处理工作中，光谱分解方法处理速度慢而蚁群算法识别目标速度快的特点，结合蚁群算法和线性光谱混合模型，建立基于蚁群搜索的光谱分解模型，以剔除植被干扰信息。选取青海黄南州吉地地区为研究区，首先确定蚂蚁移动规则，然后建立基于蚁群算法的光谱分解模型，最后根据模型重构不含有植被信息的新的多波段图像，通过残差图分析以及原图与剔除植被后影像对比分析，初步验证了基于蚁群算法的光谱分解方法剔除植被干扰信息的可行性。
- 蚁群算法 /
- 线性光谱混合模型 /
- ETM /
- 青海吉地地区
Abstract: In the research of extracting alteration information from remote sensing image, eliminating the disturbance of vegetation from image is important. In this paper, a spectral mixture analysis model is established based on ant colony algorithm, in order to eliminate the disturbance of vegetation. This model is applied to Jidi area in Huangnan City, Qinghai Province. Firstly, the ant-moving rule is defined. Secondly, the model of spectral mixture analysis based on ant colony algorithm is established. In the end, a new image without the disturbance of vegetation is plotted. Comparison of ETM image and result image shows that the disturbance of vegetation can be eliminated by the method.
- ant colony algorithm /
- Linear Spectrum Mixture Model /
- ETM /
- Jidi area in Qinghai

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图 1 预处理后影像（ETM7+ETM 4+ETM 1）

Figure 1. The image after pre-processing

下载: 全尺寸图片幻灯片

图 2 散点图

Figure 2. Scatter diagram

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图 3 剔除植被后影像（band 7+band 4+band 1）

Figure 3. The image after eliminating vegetation

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图 4 残差图（最大残差为0.103）

蓝色：0~0.025；绿色：0.025~0.050；黄色：0.050~0.075；红色：0.075~0.103

Figure 4. The residual map

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参考文献(7)

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