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运用神经网络识别注射过金属离子溶液树冠的实验研究
引用本文:杨旭东,吴继友,张福军,田文新,解立业.运用神经网络识别注射过金属离子溶液树冠的实验研究[J].遥感学报,1998,2(3):176-179.
作者姓名:杨旭东  吴继友  张福军  田文新  解立业
作者单位:[1]山东大学光学电子信息工程系 [2]山东省地质矿产局地质遥感应用研究中心
摘    要:本文运用神经网络BP算法对高分辨率航空多光谱图像进行了模式识别研究,成功地识别出注射过金属离子溶液树冠,并与最大似然法在分类结果进行比较。得出在分类精度上,神经网络模式识别比传统的最大似然分类方法具有优势的结论。

关 键 词:神经网络  最大似然法  金属离子溶液  树冠  遥感
收稿时间:1997/6/13 0:00:00
修稿时间:1997/12/26 0:00:00

Experiment Study on Identifying Crown Injected Metal Ion Solution Using Neural Network
Yang Xudong,Wu Jiyou,Zhang Fujun,Tian Wenxin and Xie Liye.Experiment Study on Identifying Crown Injected Metal Ion Solution Using Neural Network[J].Journal of Remote Sensing,1998,2(3):176-179.
Authors:Yang Xudong  Wu Jiyou  Zhang Fujun  Tian Wenxin and Xie Liye
Institution:Dept. of Optics, Shandong University Jinan 250100;Dept. of Optics, Shandong University Jinan 250100;Dept. of Optics, Shandong University Jinan 250100;Center for Research of Geology Remote Sensing Application, Geology and Mineral Bureau of Shandong Province Jinan 250011;Center for Research of Geology Remote Sensing Application, Geology and Mineral Bureau of Shandong Province Jinan 250011
Abstract:This paper studied mode identification of aerial high resolution multispectral images and has successfully identified the crown injected metal ion solution. The comparison of classification results between neural network and maximum likelihood rule indicates that neural network is better in both of classification accuracy and rate.
Keywords:Neural network  Maximum likelihood rule  Mode identification  Metal ion  Crown
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