Volume III-3
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-3, 279-286, 2016
https://doi.org/10.5194/isprs-annals-III-3-279-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-3, 279-286, 2016
https://doi.org/10.5194/isprs-annals-III-3-279-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  03 Jun 2016

03 Jun 2016

CHANGE DETECTION VIA MORPHOLOGICAL COMPARATIVE FILTERS

Y. V. Vizilter, A. Y. Rubis, S. Y. Zheltov, and O. V. Vygolov Y. V. Vizilter et al.
  • State Research Institute of Aviation Systems (GosNIIAS), 125319, 7, Viktorenko str., Moscow, Russia

Keywords: Change Detection, Mathematical Morphology

Abstract. 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.