太阳成8722(中国)有限公司-GREEN NO.1

标题：Maximum a Posteriori Fusion Method Based on Gradient Consistency Constraint for Multispectral/Panchromatic Remote Sensing Images作者：Meng Xiang-chao; Shen Huan-feng; Zhang Hong-yan; Zhagn Liang-pei; Li

Hui-fang

来源出版物：SPECTROSCOPY AND SPECTRAL ANALYSIS 卷：34 期：5 页：1332-1337 DOI：10.3964/j.issn.1000-0593(2014)05-1332-06 出版年：MAY 2014

摘要：Multispectral (MS) images with high spatial resolution (HR) can be obtained by fusing MS images and panchromatic (PAN) image, the HR MS images have an important significance in image interpretation and classification, etc. In the present paper, a new image fusion method based on gradient consistency constraint for MS/PAN images is developed. The method is based on maximum a posteriori (MAP) framework. The relationship of desired HR MS images and PAN image is formulated by gradient consistency constraint. Observation model of MS images and the Huber-Markov priori are combined to solve the fused image by gradient descent algorithm. In the proposed method, gradient consistency constraint is introduced, and defect of band number restriction is overcomed in conventional model-based fusion methods. Iterative step for every band is solved adaptively, and spectral characteristics of each band are fully taken into account, so it not only ensures the spectral information fidelity, but also improves the integration degree of spatial information of fused image. The proposed method has been tested using IKONOS and WorldView-2 images. It is compared with GS, AIHS and AMIN fusion methods from both qualitative and quantitative aspects. Experimental results show that the proposed method can better preserve spectral information while enhance spatial resolution, and it has broader applicability and better fusion result than other methods.

入藏号：WOS:000337932900037

文献类型：Article

语种：Chinese

作者关键词：Image fusion, Multispectral, Panchromatic, Maximum a posteriori (MAP), Gradient consistency

扩展关键词：PAN-SHARPENING METHOD; MULTIRESOLUTION FUSION; SENSED IMAGES; RESOLUTION; MODEL

通讯作者地址：Shen Huan-feng; Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址：mengxiangchaoabc@163.com; shenhf@whu.edu.cn

地址：

[Meng Xiang-chao; Shen Huan-feng; Li Hui-fang] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Zhang Hong-yan; Zhagn Liang-pei]Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.

研究方向：Spectroscopy

ISSN：1000-0593