Hyperspectral image classification based on combining texture and multiscale guided filter feature of principal component-Reference-Cited by-同舟云学术

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Hyperspectral image classification based on combining texture and multiscale guided filter feature of principal component

Published:2022-12 Issue: Volume:127 Page:104415
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Shen Yuzhen,Yu Yuanhe,Wei Yuchun,Guo Houcai

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference60 articles.

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2. Hyperspectral image classification based on average spectral-spatial features and improved hierarchical-ELM[J];Le;Infrared Phys. Technol.,2019

3. Regionalization of Uncovered Agricultural Soils Based on Organic Carbon and Soil Texture Estimations[J];Kanning;Remote Sens.,2016

4. First hyperspectral imaging survey of the deep seafloor: High-resolution mapping of manganese nodules[J];Dumke;Remote Sens. Environ.,2018

5. Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey[J];Heldens;Remote Sens.,2011

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