Volume XLII-2/W7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 1055-1060, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-1055-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 1055-1060, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-1055-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  13 Sep 2017

13 Sep 2017

A PAN-SHARPENING METHOD BASED ON GUIDED IMAGE FILTERING: A CASE STUDY OVER GF-2 IMAGERY

Y. Zheng1, M. Guo1, Q. Dai2,3, and L. Wang1 Y. Zheng et al.
  • 1School of Forestry, Southwest Forestry University, Kunming, 650224, China
  • 2School of Printing and Packaging, Wuhan University, Wuhan, 430079, China
  • 3School of Material Engineering, Southwest Forestry University, Kunming, 650224, China

Keywords: Remote Sensing, Image Fusion, Pan-sharpening, Guided Filter, GF-2 Imagery

Abstract. The GaoFen-2 satellite (GF-2) is a self-developed civil optical remote sensing satellite of China, which is also the first satellite with the resolution of being superior to 1 meter in China. In this paper, we propose a pan-sharpening method based on guided image filtering, apply it to the GF-2 images and compare the performance to state-of-the-art methods. Firstly, a simulated low-resolution panchromatic band is yielded; thereafter, the resampled multispectral image is taken as the guidance image to filter the simulated low resolution panchromatic Pan image, and extracting the spatial information from the original Pan image; finally, the pan-sharpened result is synthesized by injecting the spatial details into each band of the resampled MS image according to proper weights. Three groups of GF-2 images acquired from water body, urban and cropland areas have been selected for assessments. Four evaluation metrics are employed for quantitative assessment. The experimental results show that, for GF-2 imagery acquired over different scenes, the proposed method can not only achieve high spectral fidelity, but also enhance the spatial details