- 专利标题: Method and system for crop type identification using satellite observation and weather data
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申请号: US15395613申请日: 2016-12-30
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公开(公告)号: US10586105B2公开(公告)日: 2020-03-10
- 发明人: Marcus O. Freitag , Hendrik F. Hamann , Levente Klein , Siyuan Lu
- 申请人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 代理机构: Tutunjian & Bitetto, P.C.
- 代理商 Vazken Alexanian
- 主分类号: G06K9/00
- IPC分类号: G06K9/00 ; G06K9/62 ; A01G22/00 ; G06N20/00 ; G06T7/00
摘要:
A computer-implemented method for crop type identification using satellite observation and weather data. The method includes extracting current and historical data from pixels of satellite images of a target region, generating temporal sequences of vegetation indices, based on the weather data, converting each timestamp of the temporal sequences into a modified temporal variable correlating with actual crop growth, training a classifier using a set of historical temporal sequences of vegetation indices with respect to the modified temporal variable as training features and corresponding historically known crop types as training labels, identifying a crop type for each pixel location within the satellite images using the trained classifier and the historical temporal sequences of vegetation indices with respect to the modified temporal variable for a current crop season, and estimating a crop acreage value by aggregating identified pixels associated with the crop type.
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