CHANGE DETECTION VIA MORPHOLOGICAL COMPARATIVE FILTERS

Autor:	Y. V. Vizilter, A. Y. Rubis, S. Y. Zheltov, O. V. Vygolov
Jazyk:	angličtina
Rok vydání:	2016
Předmět:	Technology Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820
Zdroj:	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol III-3, Pp 279-286 (2016)
Druh dokumentu:	article
ISSN:	2194-9042 2194-9050
DOI:	10.5194/isprs-annals-III-3-279-2016
Popis:	In this paper we propose the new change detection technique based on morphological comparative filtering. This technique generalizes the morphological image analysis scheme proposed by Pytiev. A new class of comparative filters based on guided contrasting is developed. Comparative filtering based on diffusion morphology is implemented too. The change detection pipeline contains: comparative filtering on image pyramid, calculation of morphological difference map, binarization, extraction of change proposals and testing change proposals using local morphological correlation coefficient. Experimental results demonstrate the applicability of proposed approach.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/36ddc058480f41ffb5e8a05c529b6da6 Zobrazit plný text záznamu View record in DOAJ