Identifying Degraded Grass Species in Inner Mongolia Based on Measured Hyperspectral Data-Reference-Cited by-同舟云学术

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Identifying Degraded Grass Species in Inner Mongolia Based on Measured Hyperspectral Data

Published:2020 Issue: Volume: Page:1-15
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Li Xiaohui,Wang Hong,Li Xiaobing,Tang Zengwei,Liu Haining

Funder

National Key Basic Research Program of China

National Innovation Team Project

Ministry of Education Innovation Team Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/4609444/08946750.pdf?arnumber=8946750

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3. Masked Auto-Encoding Spectral–Spatial Transformer for Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2022

4. Three-Channel Infrared Imaging for Object Detection in Haze;IEEE Transactions on Instrumentation and Measurement;2022

5. A Slope Adaptive Filtering Method for Multi-frequency InSAR;2021 7th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR);2021-11-01

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