论文信息 - Highly efficient paddy classification using UAV-based orthorectified image

Highly efficient paddy classification using UAV-based orthorectified image

Recently, Unmanned Aerial Vehicle (UAV) has been applied into the precision agriculture [1, 2]. Comparing to satellite-based remote sensing, low-altitude UAV could collect data in cloudy weather with much higher spatial resolution. Thus, in addition to spectral information, UAV images provide more detailed shape and texture information about land use and cover.

Hongli Liu | Jinshui Zhang | Guanyuan Shuai | Zhoumiqi Yuan

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