Texture and Shape Features for Grass Weed Classification Using Hyperspectral Remote Sensing Images
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8891871/8897702/08900132.pdf?arnumber=8900132
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A comprehensive survey on weed and crop classification using machine learning and deep learning;Artificial Intelligence in Agriculture;2024-09
2. Extraction of Urban Targets Using Fusion of Spectral and Shape Features in AVIRIS-NG Hyperspectral Data;Advances in Geospatial Technologies;2024-03-29
3. Detection of Insect-Damaged Maize Seed Using Hyperspectral Imaging and Hybrid 1D-CNN-BiLSTM Model;Infrared Physics & Technology;2024-03
4. Developing an extreme learning machine based approach to weed segmentation in pastures;Smart Agricultural Technology;2023-10
5. Precision weed detection in wheat fields for agriculture 4.0: A survey of enabling technologies, methods, and research challenges;Computers and Electronics in Agriculture;2023-09
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