Toward the Vectorization of Hyperspectral Imagery
Author:
Affiliation:
1. College of Electrical and Information Engineering, Hunan University, Changsha, China
2. School of Automation, Central South University, Changsha, China
3. School of Astronautics, Beihang University, Beijing, China
Funder
National Natural Science Foundation of China
Science and Technology Plan Project Fund of Hunan Province
Hunan Provincial Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10194945.pdf?arnumber=10194945
Reference54 articles.
1. Convolutional neural networks for hyperspectral image classification
2. Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
3. Adaptive Spatial Pyramid Constraint for Hyperspectral Image Classification With Limited Training Samples
4. A new deep convolutional neural network for fast hyperspectral image classification
5. A Metric for Polygon Comparison and Building Extraction Evaluation
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