{"title":"利用at传感器的辐射和反射率进行流苏帽变换,应用于ASTER传感器的变化检测","authors":"L. D. Yarbrough, G. Easson, J. Kuszmaul","doi":"10.1109/AMTRSI.2005.1469857","DOIUrl":null,"url":null,"abstract":"The Tasseled Cap Transform (TCT) was originally created for agricultural land investigations. It is a vegetative index commonly used as an indicator of vegetation health and assessing vegetation and land cover change. The nature of the TCT requires linear combinations specific to each sensor. Additionally, the varying units of the reported digital number (DN) require supplementary eigenvectors. TCTs were derived for the at-sensor radiance and at-sensor reflectance and compared using differing change detection application in Mississippi. The Tasseled Cap Soil Brightness Index (SBI) and the Greenness Vegetative Index (GVI) were conducted and evaluated. It was found that the at-sensor radiance based TCT was most useful in a change detection analysis. The desired spectral characteristics were well contrasted while the at-sensor reflectance based TCT tended to be less effective.","PeriodicalId":302923,"journal":{"name":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":"{\"title\":\"Using at-sensor radiance and reflectance tasseled cap transforms applied to change detection for the ASTER sensor\",\"authors\":\"L. D. Yarbrough, G. Easson, J. Kuszmaul\",\"doi\":\"10.1109/AMTRSI.2005.1469857\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Tasseled Cap Transform (TCT) was originally created for agricultural land investigations. It is a vegetative index commonly used as an indicator of vegetation health and assessing vegetation and land cover change. The nature of the TCT requires linear combinations specific to each sensor. Additionally, the varying units of the reported digital number (DN) require supplementary eigenvectors. TCTs were derived for the at-sensor radiance and at-sensor reflectance and compared using differing change detection application in Mississippi. The Tasseled Cap Soil Brightness Index (SBI) and the Greenness Vegetative Index (GVI) were conducted and evaluated. It was found that the at-sensor radiance based TCT was most useful in a change detection analysis. The desired spectral characteristics were well contrasted while the at-sensor reflectance based TCT tended to be less effective.\",\"PeriodicalId\":302923,\"journal\":{\"name\":\"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.\",\"volume\":\"116 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AMTRSI.2005.1469857\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMTRSI.2005.1469857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using at-sensor radiance and reflectance tasseled cap transforms applied to change detection for the ASTER sensor
The Tasseled Cap Transform (TCT) was originally created for agricultural land investigations. It is a vegetative index commonly used as an indicator of vegetation health and assessing vegetation and land cover change. The nature of the TCT requires linear combinations specific to each sensor. Additionally, the varying units of the reported digital number (DN) require supplementary eigenvectors. TCTs were derived for the at-sensor radiance and at-sensor reflectance and compared using differing change detection application in Mississippi. The Tasseled Cap Soil Brightness Index (SBI) and the Greenness Vegetative Index (GVI) were conducted and evaluated. It was found that the at-sensor radiance based TCT was most useful in a change detection analysis. The desired spectral characteristics were well contrasted while the at-sensor reflectance based TCT tended to be less effective.