@article{ref1,
title="Maximum Local Energy Method for Multispectral Image Fusion in Remote Sensing System",
journal="Disaster advances",
year="2012",
author="Zhang, Lifeng and Lu, Huimin and Serikawa, Seiichi",
volume="5",
number="4",
pages="17-20",
abstract="This paper presents an image fusion method suitable for Multispectral remote sensing image fusion, based on multi-resolution analysis in remote sensing system. This method dedicates to fuse multispectral low-resolution remotely sensed images with a more highly resolved panchromatic image. The high-resolution regions of each remotely sensed image coefficients are extracted by beyond wavelet transform (BWT). BWT is a multi-resolution analysis, whose basis functions are directional edges with progressively increasing resolution. The advantage of BWT is well adapted to cured-singularities and point-singularities. There are two obvious virtues of this method. First directional detail coefficients matching image edges, which is better than obtained in separable wavelet domain. Secondly, selection strategy of maximum local energy (MLE) between low-frequency coefficients is more effective. Experiments have proved that the MLE is a new way for remotely sensed image fusion, which can get well performance. Fusion results in beyond wavelet transform are also compared.<p />",
language="en",
issn="0974-262X",
doi="",
url="http://dx.doi.org/"
}