新型超高分辨率星载多光谱与全色光图像融合方法研究

项目名称： 新型超高分辨率星载多光谱与全色光图像融合方法研究

项目编号： No.61301195

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 李旭

作者单位： 西北工业大学

项目金额： 26万元

中文摘要： 随着传感器技术的快速发展，新型星载遥感图像具有空间分辨率更高、波段数更多、光谱覆盖范围更宽等新特点，代表了下一代遥感图像的发展趋势，同时也对现有的图像融合技术提出挑战。本项目采用最新型的WorldView-2星载遥感数据为实验对象，研究在多光谱图像重采样环节进行整体插值以提高重采样数据的光谱和空间信息保真能力；从多光谱与全色光传感器的光谱响应特点出发，研究基于波段选择的光谱匹配模型，准确估计全色光图像的低频分量，从而建立全色光图像空间信息有效提取方法；利用基于对应分析的强度分量构建方法进一步研究空间信息的高保真注入模型，以减少信息在注入过程中导致的光谱与空间失真现象，在此基础上研究适用于新型超高分辨率星载遥感图像的图像融合方法，为新一代遥感图像的融合技术奠定理论方法基础。研究成果可用于高精度地物检测、分类与识别、城市规划、灾难检测与评估等领域，具有重要的科学研究意义和广阔的应用前景。

中文关键词： 融合；遥感图像；全色光图像；多光谱图像；分辨率

英文摘要： With the rapid development of sensor techniques, some new features can be found in the new satellite remote sensing images. These features, such as the high spatial resolution, the more spectral bands, the wider spctrum coverage, represent the trend of the upcoming remote sensing images and bring new challenges to image fusion field. Hence, WorldView-2 satellite images are accepted as the experimental data in this project. Usually, the pansharpening process consists of two stages: upscaling and fusing. This research work will include (1) the high-fidelity interpolation model for multi-band data and (2) the effective fusion model based on correspondence analysis. In the first part, the N-band multispectral images will be treated as a whole data set and the interpolation model combines both the spatial and the spectral relationship between the interpolated and original locations in order to preserve more spectral and spatial information during the upscaling stage. The second part puts emphasis on building the effective fusion model. Band selection based matching model will be investigated according to the relative spectral responses between multispectral and panchromatic images. Then the low frequency component of panchromatic image will be accurately estimated, and the spatial details (high frequency component) c

英文关键词： fusion；remote sensing image；panchromatic image；multispectral image；resolution