Feature grouping-based multiple fuzzy classifier system for fusion of hyperspectral and LIDAR data-Reference-Cited by-同舟云学术

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Feature grouping-based multiple fuzzy classifier system for fusion of hyperspectral and LIDAR data

Published:2014-12-05 Issue:1 Volume:8 Page:083509
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Bigdeli Behnaz¹,Samadzadegan Farhad¹,Reinartz Peter²

Affiliation:

1. University of Tehran, Department of Geomatics Engineering, Faculty of Engineering, North Kargar Street, P.O. Box 11365-4563, Tehran, Iran

2. German Aerospace Centre (DLR), Remote Sensing Technology Institute, Department of Photogrammetry and Image Analysis, P.O. Box 1116, D-82230 Weßling, Germany

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Cited by 10 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. Collaboration graph for feature set partitioning in data classification;Expert Systems with Applications;2023-03

4. Coupled Higher-Order Tensor Factorization for Hyperspectral and LiDAR Data Fusion and Classification;Remote Sensing;2019-08-21

5. Deep feature learning versus shallow feature learning systems for joint use of airborne thermal hyperspectral and visible remote sensing data;International Journal of Remote Sensing;2019-03-28

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