Quality assessment of remote sensing image fusion using feature-based fourth-order correlation coefficient-Reference-Cited by-同舟云学术

Quality assessment of remote sensing image fusion using feature-based fourth-order correlation coefficient

Published:2016-04-12 Issue:2 Volume:10 Page:026005
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Ma Dan¹,Liu Jun²,Chen Kai²,Li Huali³,Liu Ping²,Chen Huijuan²,Qian Jing²

Affiliation:

1. Fujian Agriculture and Forestry University, College of Resources and Environment, Fujian Provincial Key Laboratory of Soil Environmental Health and Regulation, No. 15 Shangxiadian Road, Cangshan District, Fuzhou 350002, China

2. Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, No. 1068 Xueyuan Road, Nanshan District, Shenzhen 518055, China

3. Hunan University, College of Electrical and Information Engineering, Lushan Gate Lushan South Road, Yuelu District, Changsha, Hunan 410082, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference23 articles.

1. Multispectral image fusion based on joint sparse subspace recovery

2. Multiresolution image fusion using edge-preserving filters

3. A GIHS-based spectral preservation fusion method for remote sensing images using edge restored spectral modulation

4. Spatiotemporal image-fusion model for enhancing the temporal resolution of Landsat-8 surface reflectance images using MODIS images

5. Quality assessment of ZiYuan-3 multispectral and panchromatic images fusion: applied in Jiangsu coastal wetland area, China

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