W. Cooke, C. Prabhu, R. Wallis, J. Morris, B. Smith, J. Gilreath
{"title":"评估当前实地图和激光雷达“虚拟”图，作为历史和当前陆地卫星数据的多时间分析分类程序指南，以确定森林年龄等级","authors":"W. Cooke, C. Prabhu, R. Wallis, J. Morris, B. Smith, J. Gilreath","doi":"10.1109/AMTRSI.2005.1469842","DOIUrl":null,"url":null,"abstract":"Euclidean distance measures and Landsat ETM+ band combinations and transformations are tested for their usefulness in classification of volume. Field plots are used for training and validation. Early results indicate that a Euclidean distance of 18 optimizes classification accuracies for volume. Tests for optimal band combinations were inconclusive.","PeriodicalId":302923,"journal":{"name":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Assessment of current field plots and lidar 'virtual' plots as guides to classification procedures for multitemporal analysis of historic and current landsat data for determining forest age classes\",\"authors\":\"W. Cooke, C. Prabhu, R. Wallis, J. Morris, B. Smith, J. Gilreath\",\"doi\":\"10.1109/AMTRSI.2005.1469842\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Euclidean distance measures and Landsat ETM+ band combinations and transformations are tested for their usefulness in classification of volume. Field plots are used for training and validation. Early results indicate that a Euclidean distance of 18 optimizes classification accuracies for volume. Tests for optimal band combinations were inconclusive.\",\"PeriodicalId\":302923,\"journal\":{\"name\":\"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"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.2005.1469842\",\"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.2005.1469842","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assessment of current field plots and lidar 'virtual' plots as guides to classification procedures for multitemporal analysis of historic and current landsat data for determining forest age classes
Euclidean distance measures and Landsat ETM+ band combinations and transformations are tested for their usefulness in classification of volume. Field plots are used for training and validation. Early results indicate that a Euclidean distance of 18 optimizes classification accuracies for volume. Tests for optimal band combinations were inconclusive.
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