This paper presents a novel strategy for object-based change detection using very high spatial resolution (VHR) satellite images captured under variable off-nadir view angles. The variable off-nadir angle, along with weak absolute orientation, generates spurious slivers during the multitemporal comparison of classification results. The proposed solution for accurate object-to-object comparison is based on an intermediate registration of objectbased classification results with a piecewise affine transformation followed by robust, geometry-based techniques for sliver removal. Although different remote sensing applications require different strategies and methods for object-based change detection, the approach developed in this paper can overcome the overall limitation introduced by the slivers generated by weak geo-localization, variable off-nadir angles, and image segmentation.
|Titolo:||Sliver removal in object-based change detection from VHR satellite images|
|Data di pubblicazione:||2016|
|Appare nelle tipologie:||01.1 Articolo in Rivista|
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|Barazzetti_February2016_doi-10.14358_PERS.82.2.161.pdf||pdf_fin||Publisher’s version||Accesso riservato|