ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-7, 213-217, 2016
https://doi.org/10.5194/isprs-annals-III-7-213-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
07 Jun 2016
SUPER RESOLUTION RECONSTRUCTION BASED ON ADAPTIVE DETAIL ENHANCEMENT FOR ZY-3 SATELLITE IMAGES
Hong Zhu1, Weidong Song1, Hai Tan2, Jingxue Wang1, and Di Jia3 1School of Geomatics, Liaoning Technical University, Fuxin, China
2Satellite Surveying and Mapping Application Center of China, No.1 Baisheng Village, China
3School of Electronic and Information Engineering, Liaoning Technical University, Huludao, China
Keywords: super resolution; adaptive detail enhancement; multi-scale decomposition; image fusion Abstract. Super-resolution reconstruction of sequence remote sensing image is a technology which handles multiple low-resolution satellite remote sensing images with complementary information and obtains one or more high resolution images. The cores of the technology are high precision matching between images and high detail information extraction and fusion. In this paper puts forward a new image super resolution model frame which can adaptive multi-scale enhance the details of reconstructed image. First, the sequence images were decomposed into a detail layer containing the detail information and a smooth layer containing the large scale edge information by bilateral filter. Then, a texture detail enhancement function was constructed to promote the magnitude of the medium and small details. Next, the non-redundant information of the super reconstruction was obtained by differential processing of the detail layer, and the initial super resolution construction result was achieved by interpolating fusion of non-redundant information and the smooth layer. At last, the final reconstruction image was acquired by executing a local optimization model on the initial constructed image. Experiments on ZY-3 satellite images of same phase and different phase show that the proposed method can both improve the information entropy and the image details evaluation standard comparing with the interpolation method, traditional TV algorithm and MAP algorithm, which indicate that our method can obviously highlight image details and contains more ground texture information. A large number of experiment results reveal that the proposed method is robust and universal for different kinds of ZY-3 satellite images.
Conference paper (PDF, 1154 KB)


Citation: Zhu, H., Song, W., Tan, H., Wang, J., and Jia, D.: SUPER RESOLUTION RECONSTRUCTION BASED ON ADAPTIVE DETAIL ENHANCEMENT FOR ZY-3 SATELLITE IMAGES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-7, 213-217, https://doi.org/10.5194/isprs-annals-III-7-213-2016, 2016.

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