Subpixel Mapping of Hyperspectral Image Based on Multiscale and Multifeature-Reference-Cited by-同舟云学术

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Subpixel Mapping of Hyperspectral Image Based on Multiscale and Multifeature

Published:2023 Issue: Volume:61 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Song Meiping¹^ORCID,Li Lan²^ORCID,Zhang Chunyun²^ORCID,Shi Pengliang²,Zhao Liaoying³^ORCID,Xue Bai⁴^ORCID

Affiliation:

1. Guangzhou Academy of Fine Arts, Guangzhou, China

2. Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information and Technology College, Dalian Maritime University, Dalian, China

3. School of Computer Science, Hangzhou Dianzi University, Hangzhou, China

4. Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA

Funder

National 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/ielx7/36/10006360/10288216.pdf?arnumber=10288216

Reference44 articles.

1. Mapping sub-pixel proportional land cover with AVHRR imagery

2. A Dual Global–Local Attention Network for Hyperspectral Band Selection

3. A Double Dictionary-Based Nonlinear Representation Model for Hyperspectral Subpixel Target Detection

4. Hyperspectral Image Denoising: From Model-Driven, Data-Driven, to Model-Data-Driven

5. A sub-pixel mapping algorithm based on BP neural network with spatial autocorrelation function for remote sensing imagery;xu;Acta Geodaetica et Cartographica Sinica,2011

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