Deep Learning Model for Minimal Area Detection of Weed Patches in UAV Imagery

Vyomika Singh, Raghav Luthra, Laxman Singh Khangarot,Dharmendra Singh

2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)（2023）

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摘要

Deep learning convolutional networks exhibit promising target localization and classification potential. Specifically designed for image processing and computer vision tasks, CNN based models can help detect camouflage targets merged with background. In this paper, we explore a deep learning model on UAV acquired camouflage dataset and attempt to localize, detect and classify early and multiple weed patches in a sugarcane field

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关键词

Camouflage target detection,machine learning,binary classification,unmanned aerial vehicle (UAV)

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