基于气象数据与AVHRR热红外数据的人工神经网络分类方法

doi:10.7523/j.issn.2095-6134.2003.3.011

中国科学院大学学报 ›› 2003, Vol. 20 ›› Issue (3): 328-333.DOI: 10.7523/j.issn.2095-6134.2003.3.011

基于气象数据与AVHRR热红外数据的人工神经网络分类方法

哈斯巴干¹, 马建文¹, 周自江², 李启青¹

1. 中国科学院遥感应用研究所, 北京 100101
2. 中国国家气象中心气象资料中心, 北京 100081

收稿日期:2002-09-06 发布日期:2003-05-10
基金资助:
国家科学院数学地球基础理论研究项目(KZCSX2312);中国科学院亚洲沙尘暴- ADEC项目(KZCX20305)资助

Artificial Neural Network Method Used for Weather and AVHRR Thermal Data Classification

HASI BaGan¹, MA JianWen¹, ZHOU ZiJiang², LI QiQing¹

Received:2002-09-06 Published:2003-05-10

摘要/Abstract

摘要：

利用 52个气象站观测的温度数据与同位置的AVHRR 1b CH₃、CH₄、CH₅三个通道的热红外遥感数据进行网络训练,再用训练出来的规则,指导整个研究区范围内图像数据进行分类,取得了较好的效果。

null

关键词: 人工神经网络, 气象数据, AVHRR卫星热红外数据

Abstract:

weather temperature data were used from 52 observation stations where they were also the same positionsfor collecting AVHRR 1b data CH₃ 、CH₄、CH₅ thermal data.Both groups of data were applied as fundamentalimport data in for artificial neural network calculation.Finally resultant rule was applied for classifying pixels in the whole area.The result was more reliable than that of split window not only because uncertainty caused by variations of topography but also it was very difficult to validate in field.

Key words: artificial neural network, weather observation data , AVHRR 1b data

中图分类号:

null

哈斯巴干, 马建文, 周自江, 李启青. 基于气象数据与AVHRR热红外数据的人工神经网络分类方法[J]. 中国科学院大学学报, 2003, 20(3): 328-333.

HASI BaGan, MA JianWen, ZHOU ZiJiang, LI QiQing. Artificial Neural Network Method Used for Weather and AVHRR Thermal Data Classification[J]. , 2003, 20(3): 328-333.

参考文献

[1] Wan Z, J Dozies.Land -surface temperature measurement from space :physical principles and inverse modeling.IEEE Trans Geosciences and Remote Sensing, 1989, 27(3):268 ～ 278

[2] 刘玉洁, 杨忠东, 等.MODIS 遥感信息处理与算法.北京:科学出版社, 2001 。198 ～ 232

[3] Kavsoglu T, Mather P M.Pruning artifi cial neural networks :an example using land cover classification of multi-sensor images.International Journal of Remote Sensing, 1999, 20(14):2787 ～ 2803

[4] H Murai, S Omatu.Remote sensing image analysis using a neural network and knowledge based processing.International Journal of Remote Sensing,1997, 18(4):811～ 828

[5] Simpson J J, Mcintir J T.A recurrent neural network classifier for improved ret rievals of areal extent of snow cover.IEEE Transaction on Geosci ence and Remote Sensing, 2001, 39(10):2135～ 2147

[6] Zhang J, Foody G M.Fully-fuzzy supervised classifi cation of sup-urban land cover foam remotely sensed imagery :statistical and artifi cial neural network approaches.International Journal of Remote Sensing, 2001, 22(4):615 ～ 628

[7] Y Ito, S Omatu.Extended LVQ neural network approach to land cover mapping.IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(1):313 ～ 317

[8] Y Ito, S.Omatu.Polarimetric SAR data classificat ion using competi tive neural networks.International Journal of Remote Sensing, 1998, 19(14): 2665 ～ 2684

[9] Jian-Wen Ma, Hua-Dong Guo, Chang-Lin Wang, Ge Chen, Vern Singhroy.Extraction of polymetallic mineralization information from multispectral Themati c Mapper data using the Gram-Schmidt Orthogonal Projection (GSOP)method.Internat ional Journal of Remote Sensing, 2001, 22(17):3323 ～ 3337

[10] 骆剑承, 周成虎, 杨　艳.人工神经网络遥感影像分类模型及其与知识集成方法研究.遥感学报, 2001, 5(2):122 ～ 129

[11] 阎　静, 王　汶, 李湘阁.利用神经网络方法提取水稻种植面积.遥感学报, 2001,5(3):227～ 230

[12] Pranab Jyoti BARUAH, Kazuo OKI, Hitoshi Nishimura.A Neural Network Model for estimating Surface Chlorophy11 and Sediment Content at the Lake Kasumi Gaura of Japan.Asian Conference on Remote Sensing, 2000, 723～ 726

[13] 袁曾任.人工神经元网络及其应用.北京:清华大学出版社.1999 。118 ～ 13

基于气象数据与AVHRR热红外数据的人工神经网络分类方法

Artificial Neural Network Method Used for Weather and AVHRR Thermal Data Classification

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 1

编辑推荐

Metrics

本文评价

访问统计

联系我们