Experiment Study on Identifying Crown Injected Metal Ion Solution Using Neural Network

doi:10.11834/jrs.19980304

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Experiment Study on Identifying Crown Injected Metal Ion Solution Using Neural Network
Issue 3, (1998)
Published：1998
DOI： 10.11834/jrs.19980304
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[1]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(03):176-179. DOI： 10.11834/jrs.19980304.

Experiment Study on Identifying Crown Injected Metal Ion Solution Using Neural Network[J]. Journal of Remote Sensing, 1998, (3). DOI： 10.11834/jrs.19980304.

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，并与最大似然法的分类结果进行了比较。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。

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.

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相关机构

State Key Laboratory for Fine Exploration and intelligent Development of Coal Resources, China University of Mining and Technology

The National Joint Engineering Laboratory of Internet Applied Technology of Mines, China University of Mining and Technology

School of Environment and Spatial Information, China University of Mining and Technology

School of Transportation, Southeast University

Precision Regional Earth Modeling and Information Center (PREMIC), Nanjing University of Information Science & Technology

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