Recently, land cover change detection has become a research focus of remote sensing. To obtain the change information from remote sensing images at fine spatial and temporal resolutions, subpixel change detection is widely studied and applied. In this paper, a new subpixel change detection method based on radial basis function (RBF) for remote sensing images is proposed, in which the abundance image difference measure (AIDM) is designed and utilized to enhance the subpixel mapping (SPM) by borrowing the fine spatial distribution of the fine spatial resolution image to decrease the influence of the spectral unmixing error. First, the fine and coarse spatial resolution images are used to develop subpixel change detection. Second, linear spectral mixing modeling and the degradation procedure are conducted on the coarse and fine spatial resolution image to produce two temporal abundance images, respectively. Then, the designed AIDM is utilized to enhance the RBF-based SPM by comparing the two temporal abundance images. At last, the proposed RBF-AIDM method is applied for SPM and subpixel change detection. The synthetic images based on Landsat-7 Enhanced Thematic Mapper Plus (ETM+) and real case images based on two temporal Landsat-8 Operational Land Imager (OLI) images and one Moderate Resolution Imaging Spectroradiometer (MODIS) image are undertaken to validate the proposed method. The experimental results indicate that the proposed method can sufficiently decrease the influence of the spectral unmixing error and improve the subpixel change detection results.

中文翻译：

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基于径向基函数和丰度图像差测度的遥感图像亚像素变化检测

近年来，土地覆盖变化检测已经成为遥感研究的重点。为了从高分辨率空间和时间分辨率的遥感图像中获得变化信息，亚像素变化检测得到了广泛的研究和应用。提出了一种基于径向基函数（RBF）的遥感图像亚像素变化检测新方法，设计了丰富的图像差异度量（AIDM），并借以增强图像的亚像素映射（SPM）。精细空间分辨率图像的精细空间分布，以减少光谱分解误差的影响。首先，精细和粗糙的空间分辨率图像用于开发子像素变化检测。第二，在粗糙和精细的空间分辨率图像上进行线性光谱混合建模和退化过程，分别产生两个时间丰度图像。然后，通过比较两个时间丰度图像，利用设计的AIDM增强基于RBF的SPM。最后，将提出的RBF-AIDM方法应用于SPM和亚像素变化检测。进行了基于Landsat-7增强型专题制图仪Plus（ETM +）的合成图像以及基于两幅Landsat-8实时陆地成像仪（OLI）图像和一幅中等分辨率成像光谱仪（MODIS）图像的真实案例图像来验证所提出的方法。实验结果表明，所提出的方法可以充分降低光谱解混误差的影响，提高子像素变化检测结果。