| DECISION-BASED FUSION OF PANSHARPENED VHR SATELLITE IMAGES USING TWO-LEVEL ROLLING SELF-GUIDANCE FILTERING AND EDGE INFORMATION |
| Paper ID : 1057-GEOSPATIAL (R7) |
| Authors: |
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Farhad Samadzadegan1, Ahmad Toosi *2, Farzaneh Dadrass Javan3, Alfred Stein3 1School of Surveying and Geospatial Information Engineering, College of Engineering, University of Tehran 2School of Surveying and Geospatial Engineering, University College of Engineering, University of Tehran, Tehran, Iran 3Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands |
| Abstract: |
| Pan-sharpening (PS) process fuses low-resolution multispectral (LR MS) images with high-resolution panchromatic (HR PAN) bands to produce a HR MS data. Current PS methods either better maintain the spectral information of MS images, or better transfer the PAN spatial details to the MS bands. In this study, we propose a new decision-based fusion method that integrates two basic pan-sharpened very-high-resolution (VHR) satellite imageries taking advantage of both images simultaneously. It uses two-level rolling self-guidance filtering (RSGF) and Canny edge detection. The developed method is tested on Worldview (WV)-2 and WV-4 VHR satellite images on the San Fransisco and New York areas, using four state-of-the-art PS algorithms. Results clearly indicate that the proposed method increased the overall joint spectral-spatial quality of the base pan-sharpened images by 7.2% and 9.8% for the San Fransisco and New York case studies, respectively. Our proposed method therefore effectively addresses the decision-level fusion of different base pan-sharpened images. |
| Keywords: |
| Image Fusion, Pansharpening, Very-high-resolution, Guided Filter, Canny Edge Detector |
| Status : Paper Accepted (Oral Presentation) |
