OpenAlex | Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

Work

Year: 2016

Type: article

Abstract: Due to the advantages of deep learning, in this paper, a regularized deep feature extraction (FE) method is presented for hyperspectral image (HSI) classification using a convolutional neural network ... more

Source: IEEE Transactions on Geoscience and Remote Sensing

Authors Yushi Chen, Hanlu Jiang, Chunyang Li, Xiuping Jia, Pedram Ghamisi

Institutions Harbin Institute of Technology, University of Canberra, UNSW Sydney, Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Cites: 51

Cited by: 2,495

Related to: 10

FWCI: 166.6

Citation percentile (by year/subfield): 99.98

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

Sustainable Development Goal Reduced inequalities

Open Access status: green

Funders National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

Grant IDS 61301206, HIT. NSRIF.2013028