Name
Abstract | ||
|---|---|---|
Blending processing based on seamlines in image mosaicking is a procedure designed to obtain a smooth transition between images along seamlines and make seams invisible in the final mosaic. However, for high-resolution aerial orthoimages in urban areas, factors such as projection differences, moving objects, and radiometric differences in overlapping areas may result in ghosting and artifacts or visible shifts in the final mosaic. Such a mosaic is not a true reflection of the earth's surface and may have a negative impact on image interpretation. Therefore, this paper presents a multi-resolution blending method considering changed regions to improve mosaic image quality. The method utilizes the region change rate (RCR) to distinguish changed regions from unchanged regions in overlapping areas. The RCR of each region is computed using image segmentation and change detection methods. Then, a mask image is generated considering changed regions, and Gaussian and Laplacian pyramids are constructed. Finally, a multi-resolution reconstruction is performed to obtain the final mosaic. Experimental results from digital aerial orthoimages in urban areas are provided to verify this method for blending processing based on seamlines in mosaicking. Comparisons with other methods further demonstrate the potential of the presented method, as shown in a detailed comparison in three typical cases of the seamline passing by buildings, the seamline passing through buildings, and the seamline passing through areas with large radiometric differences. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3390/rs8100842 | REMOTE SENSING |
Keywords | Field | DocType |
mosaic,blending,change detection,segmentation,multi-resolution | Computer vision,Change detection,Segmentation,Remote sensing,Image quality,Image segmentation,Gaussian,Artificial intelligence,Image mosaicking,Geology,Ghosting,Orthophoto | Journal |
Volume | Issue | ISSN |
8 | 10 | 2072-4292 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Pan | 1 | 28 | 6.90 |
| mi | 2 | 88 | 30.02 |
| Xiaohui Cao | 3 | 0 | 0.34 |
| Shengtong Chen | 4 | 0 | 0.34 |
| fen hu | 5 | 1 | 0.70 |