结合 HIS和小波变换的自适应遥感影像融合

王阿川; 陈舒畅; 王学良

doi:doi:10.3969/j.issn.1003-501x.2016.08.013

光电工程, 2016, 43 (8): 76, 网络出版: 2016-09-12

结合 HIS和小波变换的自适应遥感影像融合

Adaptive Remote Sensing Image Fusion Based on HIS and Wavelet Transform

论文大纲

王阿川 ^*陈舒畅王学良

作者单位

东北林业大学信息与计算机工程学院，哈尔滨 150040

遥感影像融合显著性分析模型 HIS变换小波变换 remote sensing image fusion salient analysis model HIS transform wavelet transform

摘要

多源遥感影像融合中，通常不同地物区域对光谱特征和空间细节信息的要求有所不同。针对该特点，提出了一种 IR(自适应半径搜索 )显著性分析模型，实现了对多源遥感影像显著性区域和非显著性区域的识别与划分。结合 HIS与小波变换融合算法，提出了改进的自适应平均梯度加权 HIS融合方法，实现了对道路、农田、居民区等显著性区域的融合，更好的保留了其丰富的空间细节信息；同时提出了 HIS+WT变换的融合方法，实现了对山地、林地等非显著性区域的融合，保留了较多的光谱信息。以此实现了分区域的自适应遥感影像融合。实验结果表明，本文方法能够使融合后的遥感影像既能保持较高的空间细节表现能力，又能很好地保留其光谱信息。对农业科学、森林规划以及今后森林遥感影像分类、识别等研究提供了一定的理论基础与应用价值。

Abstract

In the fusion of multi-source remote sensing image, for different ground region, usually the characteristics of spectral features and spatial detail information are different. In view of the problem, a new salient analysis model called IR (adaptive-radius-search) salient analysis model was proposed, which realized the identification and classification of the salient regions and non salient regions. Combined with HIS and wavelet transform fusion algorithm, an improved adaptive HIS fusion method was put forward based on average gradient weighting, which achieved the fusion of the road, farmland, residential area and other salient regions, and the method had better keeping the spatial details information of its abundant space. Meanwhile, the fusion method of HIS+WT transform was proposed, which realized the fusion of mountain, forest land, and other areas are not salient, retaining more spectral information. The method completed the adaptive remote sensing image fusion of different regions. The experimental results show that the proposed method of the paper could guarantee the fusion image of both to maintain high spatial detail performance ability, but also to retain good spectral information. The proposed method of the paper provides certain theoretical basis and application value for the research on agricultural science, forest planning and future forest remote sensing image classification, identification and so on.

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王阿川, 陈舒畅, 王学良. 结合 HIS和小波变换的自适应遥感影像融合[J]. 光电工程, 2016, 43(8): 76. WANG A′chuan, CHEN Shuchang, WANG Xueliang. Adaptive Remote Sensing Image Fusion Based on HIS and Wavelet Transform[J]. Opto-Electronic Engineering, 2016, 43(8): 76.

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