Exploiting The Textural Information Of Uav Multispectral Imagery To Monitor Nitrogen Status In Rice
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)(2019)
摘要
This study investigates the potential of texture analysis from the UAV-based multispectral imagery in qualifying N status in rice crops. Texture features and textural indices extracted from the UAV images were correlated with N-related variables. Results indicated that textural indices performed significantly better than individual texture features in N-related variables estimation. Textural indices performed better in plant level N-related variables than that in leaf level. With regards to texture analysis, direction vertical to the row orientation was recommended in row-planted crops. Those findings confirm that texture analysis from UAV imagery is a reliable technique in crop N status monitoring.
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关键词
UAV, Texture analysis, N status, Rice
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