Hashing-Based Deep Metric Learning for the Classification of Hyperspectral and LiDAR Data
Author:
Affiliation:
1. Peng Cheng Laboratory, Shenzhen, China
2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
3. College of Electrical and Information Engineering, Hunan University, Changsha, China
Funder
Peng Cheng Laboratory Research Project
National Natural Science Foundation of China Major Program
Hubei Province Natural Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10268378.pdf?arnumber=10268378
Reference43 articles.
1. Deep Learning for Hyperspectral Image Classification: An Overview
2. Hyperspectral Image Classification With Deep Feature Fusion Network
3. Deep High-order Tensor Convolutional Sparse Coding for Hyperspectral Image Classification
4. Hyperspectral Image Instance Segmentation Using Spectral–Spatial Feature Pyramid Network
5. Hyperspectral and LiDAR Data Fusion Using Extinction Profiles and Deep Convolutional Neural Network
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