| A Review on Spatial Quality Assessment Methods for Evaluation of High-Resolution Satellite Image Fusion |
| Paper ID : 1016-SMPR |
| Authors: |
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Farzaneh Dadras Javan *, Farhad Samadzadegan, Soroosh Mehravar, Ahmad Toosi Department of Surveying and Geomatics Engineering, University College of Engineering, University of Tehran, Tehran, Iran |
| Abstract: |
| Nowadays, high-resolution fused satellite imagery is widely used in multiple remote sensing applications. Although the spectral quality of pan-sharpened images plays an important role in many applications, spatial quality becomes more important in lots of cases too. High spatial quality of the fused image is essential for extraction, identification and reconstruction of significant image objects and will result in producing high-quality large scale maps especially in the urban area. This paper introduces the most sensitive and effective methods in detecting the spatial distortion of fused images by implementing a number of spatial quality assessment indices not only presented in the field of remote sensing but also those are common in image processing community. In this regard, in order to recognize the ability of quality assessment indices for detecting the spatial distortion quantity, input images of the fusion process are affected by some intentional spatial distortion based on non-registration error. The capabilities of the investigated metrics are evaluated on three different fused images from WorldView-2. Achieved results obviously explicate that two methods namely Edge Variance Distortion and the spatial component of QNR metric called Ds are more sensitive and responsive to the imported errors. |
| Keywords: |
| Spatial Quality, Assessment Methods, High-Resolution Satellite Imagery, Image Fusion, Pan-sharpening |
| Status : Conditional Accept (Poster) |
