Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction

Author:

Licciardi Giorgio Antonino,Khan Muhammad Murtaza,Chanussot Jocelyn,Montanvert Annick,Condat Laurent,Jutten Christian

Publisher

Springer Science and Business Media LLC

Reference32 articles.

1. Wald L: Data Fusion. Definitions and Architectures—Fusion of Images of Different Spatial Resolutions. Presses de l’Ecole, Ecole des Mines de Paris, Paris, France,; 2002.

2. Palsson F, Sveinsson JR, Benediktsson J, Aanaes H: Classification of Pansharpened Urban Satellite Images. IEEE J. Sel. Topics Appl. Earth Observations and Remote Sens 2012, 5: 281-297.

3. Eismann MT, Hardie RC: Hyperspectral resolution enhancement using high resolution multispectral imagery with arbitrary response function. IEEE Trans. Geosci. Remote Sens 2005., 43(3):

4. Chavez PS, Sides SC, Anderson JA: Comparison of three different methods to merge multiresolution and multispectral data: landsat TM and SPOT panchromatic. Photogram. Eng. Remote Sens. 1991, 57(3):295-303.

5. Serpico B, D’Inca M, Melgani F, Moser G: Comparison of feature reduction techniques for classification of hyperspectral remote sensing data universal image quality index. Proc. SPIE Image Signal Process Remote Sens 2003, 4885(8):347-358.

Cited by 44 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DUCD: Deep Unfolding Convolutional-Dictionary network for pansharpening remote sensing image;Expert Systems with Applications;2024-09

2. Transformer-Based Dual-Branch Multiscale Fusion Network for Pan-Sharpening Remote Sensing Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

3. Pansharpening by Combining Enhanced Spatial-Spectral Fidelity and Gradient-Domain Guided Filtering;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

4. Machine Learning in Pansharpening: A benchmark, from shallow to deep networks;IEEE Geoscience and Remote Sensing Magazine;2022-09

5. An Optimization Procedure for Robust Regression-Based Pansharpening;IEEE Transactions on Geoscience and Remote Sensing;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3