Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B7, 407-410, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B7-407-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
01 Aug 2012
INTEGRATED FUSION METHOD FOR MULTIPLE TEMPORAL-SPATIAL-SPECTRAL IMAGES
H. Shen School of Resource and Environmental Science, Wuhan University, P.R. China
Keywords: Data fusion, remote sensing, multiple temporal-spatial-spectral images Abstract. Data fusion techniques have been widely researched and applied in remote sensing field. In this paper, an integrated fusion method for remotely sensed images is presented. Differently from the existed methods, the proposed method has the performance to integrate the complementary information in multiple temporal-spatial-spectral images. In order to represent and process the images in one unified framework, two general image observation models are firstly presented, and then the maximum a posteriori (MAP) framework is used to set up the fusion model. The gradient descent method is employed to solve the fused image. The efficacy of the proposed method is validated using simulated images.
Conference paper (PDF, 1053 KB)


Citation: Shen, H.: INTEGRATED FUSION METHOD FOR MULTIPLE TEMPORAL-SPATIAL-SPECTRAL IMAGES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B7, 407-410, https://doi.org/10.5194/isprsarchives-XXXIX-B7-407-2012, 2012.

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