Hyperspectral and LiDAR Data Classification Using Joint CNNs and Morphological Feature Learning-Reference-Cited by-同舟云学术

Hyperspectral and LiDAR Data Classification Using Joint CNNs and Morphological Feature Learning

Published:2022 Issue: Volume:60 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Roy Swalpa Kumar¹^ORCID,Deria Ankur¹^ORCID,Hong Danfeng²^ORCID,Ahmad Muhammad³^ORCID,Plaza Antonio⁴^ORCID,Chanussot Jocelyn⁵^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, India

2. Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

3. Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad, Chiniot-Faisalabad Campus, Chiniot, Pakistan

4. Department of Technology of Computers and Communications, Hyperspectral Computing Laboratory, Escuela Politécnica, University of Extremadura, Cáceres, Spain

5. GIPSA-Lab, CNRS, Grenoble INP, Université Grenoble Alpes, Grenoble, France

Funder

National Natural Science Foundation of China

MIAI@Grenoble Alpes

AXA Research Fund

Spanish Ministerio de Ciencia e Innovación

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09780350.pdf?arnumber=9780350

Reference69 articles.

1. Retrieving forest biomass through integration of CASI and LiDAR data

2. Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas

3. HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification

4. A New Max-Min Convolutional Network for Hyperspectral Image Classification

5. Revisiting Deep Hyperspectral Feature Extraction Networks via Gradient Centralized Convolution

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