Feature extraction approach for quality assessment of remotely sensed hyperspectral images-Reference-Cited by-同舟云学术

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Feature extraction approach for quality assessment of remotely sensed hyperspectral images

Published:2020-05-26 Issue:02 Volume:14 Page:1
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Das Samiran¹,Bhattacharya Shubhobrata¹,Khatri Pushkar Kumar²

Affiliation:

1. Indian Institute of Technology Kharagpur, Advanced Technology Development Center, Kharagpur, West Be

2. Indian Institute of Technology Kharagpur, Department of Electrical Engineering, Kharagpur, West Beng

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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3. Plant‐Wearable Sensors for Intelligent Forestry Monitoring;Advanced Sustainable Systems;2022-12-08

4. Recent Advancements in Hyperspectral Face Recognition: A Review;2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT);2022-10-03

5. Spectral–Spatial Complementary Decision Fusion for Hyperspectral Anomaly Detection;Remote Sensing;2022-02-15

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