面向对象的多光谱图像特征遗传选优方法  

Method for object-oriented feature selection based on genetic algorithm with multi spectral images

作　　者：安琼[1] 杨邦杰[2] 郭琳[2] 

机构地区：[1]中国农业大学信息与电气工程学院,北京100083 [2]农业部规划设计研究院农业资源监测站,北京100125

出　　处：《农业工程学报》2008年第4期181-185,共5页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家自然科学基金资助项目“大尺度农作物种植面积空间统计方法与可靠性研究”(30471009)

摘　　要：为了有效提高作物遥感识别过程中对作物分类的精度,需要对光谱图像特征进行合理选择,得到最佳波段组合。该文在对多光谱数据的光谱信息特征进行全面分析基础上,针对目标地物,提出面向对象的多光谱图像特征遗传选优算法模型。在模型中,先根据最佳指数因子法计算比较,得出最佳识别组合的特征数量;然后,以最大最小距离作为理论基础,对Jeffries-Matusita(J-M)距离改进,得到加权J-M距离,作为衡量特征对分类有效性的判据,并以此构建适应度函数,运用遗传算法对结果优化处理,选择出对分类敏感的波段组合。以吉林德惠县内的Landsat-5数据为例,进行波段选择实验,取得较好的成效。In the crop identification process using remote sensing, selecting the robust feature variable is a key to the correct identification. After comprehensive analysis of spectrum characteristics of the multi-spectral data, aiming at the goal ground objects, this paper proposed a new model for object-oriented feature selection based on Genetic Algorithm（GA） with multi-spectral images. In the model, after comparison and analysis were made in terms of the value of OIF （Optimum Index Factor） of band combination, the best feature number of them was determined. Then considering the principle of Maximizing-Minimum Distance as the basic theory, the formula of weighed JM Distance was obtained through improving Jeffries-Matusita （J-M） Distance. It can be used as the criterion for measuring the efficiency of feature to classification. The results were optimized by GA, in which fitting function was constructed with this distance, and the band combination was selected that was sensitive to classification. In this paper the study area was selected in Dehui county of selected that was sensitive to classification. In this paper the study area was selected in Dehui county of Jilin Province, Northeast China. The band selection was conducted based on the model proposed using Landsat-5 images. Better results were obtained by the model.

关 键 词：遥感 多光谱 面向对象 波段选择 遗传算法 加权J-M距离 

分 类 号：S127[农业科学—农业基础科学]