Remote sensing classification method fusing vegetation life cycle characteristics

The invention provides a remote sensing classification method fusing vegetation life cycle characteristics. The method comprises the following steps: generating a dense long-time sequence vegetation index data set of each pixel point and each vegetation type based on a remote sensing image of a to-b...

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Main Authors ZHANG SHENGBIN, LUO BOREN, ZHUANG JIAFENG, YU SHUNXIN, YAO JINXI, XU QIAO, LIU DEQIANG, WU YOUYU, YU SHAOHUAI, YU FEI
Format Patent
LanguageChinese
English
Published 12.03.2024
Subjects
CALCULATING
COMPUTING
COUNTING
PHYSICS
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Summary:The invention provides a remote sensing classification method fusing vegetation life cycle characteristics. The method comprises the following steps: generating a dense long-time sequence vegetation index data set of each pixel point and each vegetation type based on a remote sensing image of a to-be-classified region; forming a whole-course fitting curve corresponding to each pixel point and the vegetation type; obtaining a total derivative function curve of each pixel point and each vegetation type; determining time periods of a growth period, a saturation period and a senescence period of each pixel point and the vegetation type; obtaining a growth stage feature map of each pixel point; constructing a classification feature space of a sample set of each pixel point and each vegetation type in the remote sensing image of the to-be-classified region; training a classifier; and carrying out vegetation type classification on all pixel points in the remote sensing image of the to-be-classified region by using t
Bibliography:Application Number: CN202410124198