AUTOMATIC CROP CLASSIFICATION METHOD AND SYSTEM BASED ON MULTI-CLASSIFIER FUSION, AND STORAGE MEDIUM

UITTREKSEL Disclosed are an automatic crop classification method and system based on multi-classifier fusion, and a storage medium. The method includes: collecting and preprocessing data to obtain preprocessed high-resolution data and Hmlti-spectral time series reflectance; computing a normalized di...

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Hauptverfasser: FEI XIE, CHANGHAI YUE, XU WANG, DAN MENG, YUANFU GONG, RENLAN ZHANG, ZHI ZHANG, YANPENG PENG, ZHONGZHAO XIONG, SHUANG SHUAI, YAMAO WANG, ZICHENG MA, TIANCHENG SUN, SI CHEN, CUIRONG XIE, YAO XIAO
Format: Patent
Sprache:eng
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Zusammenfassung:UITTREKSEL Disclosed are an automatic crop classification method and system based on multi-classifier fusion, and a storage medium. The method includes: collecting and preprocessing data to obtain preprocessed high-resolution data and Hmlti-spectral time series reflectance; computing a normalized difference vegetation index (NDVI) time series on the basis of the multi-spectral time series reflectance; selecting, on the basis of the computed NDVI time series and in combination with crop type training samples, multi-spectral image data participating in classification; inputting the high- resolution data, the NDVI time series and the multi-spectral image data participating in classification into a classifier set to obtain an initial classification result set; and executing an overall classification. accuracy-majority vote (GCA-MV) algorithm on the initial classification result set to complete decision fusion classification.