@inproceedings{627a887116014faa86d42d6e9e2e29fe,
title = "MIHS: A Multiobjective Pan-sharpening Method for Remote Sensing Images",
abstract = "Pan-sharpening aims to integrate the spatial details of high resolution panchromatic image (PAN) with the spectral information of the corresponding low resolution multispectral image (MS) to produce high resolution multispectral image, which is a challenge real-world task. In this paper, we propose a novel pan-sharpening method, called multiobjective Intensity-Hue-Saturation (MIHS) transformation, which combines adaptive Intensity-Hue-Saturation transformation and evolutionary multi-objective optimization techniques for remote sensing images. The basic idea is to convert the pan-sharpening problem into a mutiobjective optimization problem and deal with it by an multiobjective evolutionary algorithm. The proposed method is applied to two Quick-bird images. Experimental results demonstrate that the proposed method does markedly improve the pan-sharpening performance compared to the state-of-the-art methods and an evolutionary method with single objective in terms of both subjective visual effects and objective quality metrics.",
keywords = "Intensity-Hue-Saturation, Multiobjective optimization, Multispectral images, Pan-sharpening, Panchromatic image",
author = "Yingxia Chen and Cong Liu and Aimin Zhou and Guixu Zhang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Congress on Evolutionary Computation, CEC 2019 ; Conference date: 10-06-2019 Through 13-06-2019",
year = "2019",
month = jun,
doi = "10.1109/CEC.2019.8789901",
language = "英语",
series = "2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1068--1073",
booktitle = "2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings",
address = "美国",
}