Abstract
Abstract. The complex process of fully automatically establishing seamlines for the fast production of high-quality mosaics with high-amount of high-resolution multi-spectral images is detailed and improved in this paper. The algorithm is analyzed and a quasi-linear runtime in the number of considered pixels is proven for all situations. For typical situations the storage is even essentially smaller from a complexity theoretical perspective. Improvements from algorithm practical perspective are specified, too. The influence of different methods for the determination of seamlines based on gradients is investigated in detail for three Sentinel-2 products. The studied techniques cover well-known ones normally based on a single band. But also more sophisticated techniques based on multiple bands or even taking additional external geo-information data are taken into account. Based on the results a larger area covered by Image2006 orthorectified products with data of the Resourcesat-1 mission is regarded. The feasibility of applying advanced subordinated methods for improving the mosaic such as radiometric harmonization is examined. This also illustrates the robustness of the improved seamline determination approaches.
Highlights
1.1 Mosaicking of High-Resolution Multi-Spectral ImagesFor analysis of larger areas it is often necessary to synthetically combine multiple small area products to one single product covering a large spatial extent
Further advice is given on data fusion by means of multi-source mosaics, and considering volunteered geographic information for seamline detection
As the occurrence of brightness differences at these borders is expected, the generated seamlines are almost invisible in the final mosaic
Summary
For analysis of larger areas it is often necessary to synthetically combine multiple small area products to one single product covering a large spatial extent. A popular quasi-linear (or called log-linear) runtime algorithm realizing high-quality mosaics is the morphological image compositing/mosaicking by Soille (2006). It was established for similar types of products. We consider further improvements of the most critical step of the heuristic, namely the robust determination of seamlines Such investigations are not in the focus of publications so far concerning morphological image compositing/mosaicking. This is true for the in more detail considered runtime and storage complexity
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