Semantic Segmentation Using Deep Learning with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images

Semantic Segmentation Using Deep Learning with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images

A rapid and precise large-scale agricultural disaster survey is a basis for agricultural disaster relief and insurance but is labor-intensive and time-consuming. This study applies Unmanned Aerial Vehicles (UAVs) images through deep-learning image processing to estimate the rice lodging in paddies o...

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Bibliographic Details
Main Authors: Ming-Der Yang, Hsin-Hung Tseng, Yu-Chun Hsu, Hui Ping Tsai
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
semantic segmentation
deep learning
lodging
uav
vegetation index
Online Access:https://www.mdpi.com/2072-4292/12/4/633

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