The fusion of polarimetric AirSAR data with digital aerial photography to improve aquatic macrophtye classification in a tropical reservoir

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) Pub Date : 2001-07-09 DOI:10.1109/IGARSS.2001.976862

R. Bartolo, J. Forner, D. Bell, C. Menges, G. Hill

{"title":"The fusion of polarimetric AirSAR data with digital aerial photography to improve aquatic macrophtye classification in a tropical reservoir","authors":"R. Bartolo, J. Forner, D. Bell, C. Menges, G. Hill","doi":"10.1109/IGARSS.2001.976862","DOIUrl":null,"url":null,"abstract":"Previous attempts to map wetland environments in northern Australia using optical satellite sensors have highlighted the difficulties in mapping the vegetation in these systems using remotely sensed data. Recently, more promising results have been achieved through the use of polarimetric AirSAR obtained during the 1996 PACRIM campaign. The mapping has been conducted on a tropical floodplain containing a reservoir, Fogg Dam, that is characterised by a permanent water supply. A maximum likelihood supervised classification was implemented on four data sets: CIR photography; a Cloude decomposed 9 band AirSAR image; the optimum 3 band combination Cloude decomposed image; and the fused data. The macrophtye classification was improved when utilising AirSAR data, with the 3 band decomposed image yielding the most accurate results.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2001.976862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

Previous attempts to map wetland environments in northern Australia using optical satellite sensors have highlighted the difficulties in mapping the vegetation in these systems using remotely sensed data. Recently, more promising results have been achieved through the use of polarimetric AirSAR obtained during the 1996 PACRIM campaign. The mapping has been conducted on a tropical floodplain containing a reservoir, Fogg Dam, that is characterised by a permanent water supply. A maximum likelihood supervised classification was implemented on four data sets: CIR photography; a Cloude decomposed 9 band AirSAR image; the optimum 3 band combination Cloude decomposed image; and the fused data. The macrophtye classification was improved when utilising AirSAR data, with the 3 band decomposed image yielding the most accurate results.

查看原文本刊更多论文

偏振AirSAR数据与数字航空摄影的融合改进热带水库水生巨细胞分类

以前使用光学卫星传感器绘制澳大利亚北部湿地环境图的尝试强调了在这些系统中使用遥感数据绘制植被图的困难。最近，通过使用1996年PACRIM运动期间获得的极化AirSAR，取得了更有希望的结果。地图绘制是在一个热带洪泛区进行的，其中有一个水库，Fogg大坝，其特点是永久供水。对四个数据集进行了最大似然监督分类:CIR摄影;云分解后的9波段AirSAR图像;最佳3波段组合云分解图像;和融合的数据。当使用AirSAR数据时，巨噬细胞分类得到了改进，3波段分解图像产生了最准确的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)

自引率

0.00%

发文量