Transfer Learning for Plant-level Crop Classification using Drone-based Hyperspectral Imagery
Author:
Affiliation:
1. Indian Institute of Space Science and Technology,dept. of earth and space sciences,Thiruvananthapuram,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10064385/10064489/10064501.pdf?arnumber=10064501
Reference11 articles.
1. Transfer Learning for Soil Spectroscopy Based on Convolutional Neural Networks and Its Application in Soil Clay Content Mapping Using Hyperspectral Imagery
2. Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images
3. Structural Similarity Based Image Quality Assessment
4. Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images
5. Physically Constrained Transfer Learning Through Shared Abundance Space for Hyperspectral Image Classification
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1. UAV-Based Classification of Intercropped Forage Cactus: A Comparison of RGB and Multispectral Sample Spaces Using Machine Learning in an Irrigated Area;AgriEngineering;2024-02-23
2. Transferring the Modeling Capabilities of Hyper Spectral Image Analysis to Agricultural Automation;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29
3. Automatic Object Based Plant-level Crop Segmentation in Drone-based Hyperspectral Imagery;2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS);2023-10-31
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