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首页> 美国政府科技报告 >Crop Identification Technology Assessment for Remote Sensing (CITARS), Volume VI:Data Processing at the Laboratory for Applications of Remote Sensing, Purdue University, West Lafayette, Indiana
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Crop Identification Technology Assessment for Remote Sensing (CITARS), Volume VI:Data Processing at the Laboratory for Applications of Remote Sensing, Purdue University, West Lafayette, Indiana

机译：作物识别技术遥感评估（CITaRs），第六卷：遥感应用实验室的数据处理，普渡大学，西拉斐特，印第安纳州

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This document summarizes the results of classifications and experi ments performed by the Laboratory for Applications of Remote Sensing for the Crop Identification Technology Assessment for Remote Sensing. Using two analysis procedures, 15 data sets were classified. One procedure used class weights while the other assumed equal probabilities of occurrence for all classes. Additionally, 20 data sets were classified using training statistics from another segment or date. The classification and pro portion estimation results of the local and nonlocal classifications are reported.nThis document also describes several other experiments to provide additional understanding of the results of the Crop Identification Tech nology Assessment for Remote Sensing. These experiments investigated alternative analysis procedures, training set selection and size, effects of multitemporal registration, spectral discriminability of corn, soy beans, and "other," and analyses of aircraft multispectral data.nThe results of the Crop Identification Technology Assessment for Remote Sensing will be applied extensively in the Large Area Crop Inventory Experiment.

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