基于HSRH图像的城市目标检测算法

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI:10.1109/URS.2009.5137636

Du Bo, Zhang Liangpei, Li Pingxiang, Zhong Yanfei

{"title":"基于HSRH图像的城市目标检测算法","authors":"Du Bo, Zhang Liangpei, Li Pingxiang, Zhong Yanfei","doi":"10.1109/URS.2009.5137636","DOIUrl":null,"url":null,"abstract":"This paper presents an target detection algorithm focusing on making full use of both spatial and spectral features of the high spatial resolution hyperspectral (HSRH) imagery. It use the spatial relationship between pixels in the finite impulse filter with the low dimension data transferred from the original imagery. Experiments show it performs better than the method solely depending on spectral features.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A target detection algorithm for urban areas using HSRH imagery\",\"authors\":\"Du Bo, Zhang Liangpei, Li Pingxiang, Zhong Yanfei\",\"doi\":\"10.1109/URS.2009.5137636\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an target detection algorithm focusing on making full use of both spatial and spectral features of the high spatial resolution hyperspectral (HSRH) imagery. It use the spatial relationship between pixels in the finite impulse filter with the low dimension data transferred from the original imagery. Experiments show it performs better than the method solely depending on spectral features.\",\"PeriodicalId\":154334,\"journal\":{\"name\":\"2009 Joint Urban Remote Sensing Event\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Joint Urban Remote Sensing Event\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/URS.2009.5137636\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Joint Urban Remote Sensing Event","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URS.2009.5137636","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

提出了一种充分利用高空间分辨率高光谱(HSRH)图像的空间和光谱特征的目标检测算法。它利用有限脉冲滤波器中像素之间的空间关系和从原始图像中传输的低维数据。实验表明，该方法优于单纯依赖光谱特征的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A target detection algorithm for urban areas using HSRH imagery

This paper presents an target detection algorithm focusing on making full use of both spatial and spectral features of the high spatial resolution hyperspectral (HSRH) imagery. It use the spatial relationship between pixels in the finite impulse filter with the low dimension data transferred from the original imagery. Experiments show it performs better than the method solely depending on spectral features.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2009 Joint Urban Remote Sensing Event

自引率

0.00%

发文量