Deep Learning-Based Adaptive Downsampling of Hyperspectral Bands for Soil Organic Carbon Estimation

Deep Learning-Based Adaptive Downsampling of Hyperspectral Bands for Soil Organic Carbon Estimation

Accurate estimation of soil organic carbon (SOC) is critical for assessing soil health and guiding sustainable land management. Hyperspectral sensing has emerged as an approach for SOC analysis due to its ability to capture detailed spectral signatures of soil properties. However, hyperspectral data...

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Bibliographic Details
Main Authors: Mohammad Rahman, Shyh Wei Teng, Manzur Murshed, Manoranjan Paul, David Brennan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
1D-CNN
band selection
BSDR
adaptive downsampling
soil organic carbon
spectral continuity
Online Access:https://ieeexplore.ieee.org/document/11017618/
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https://ieeexplore.ieee.org/document/11017618/

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