Shadow detection and removal using a shadow formation model

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Other literature type 01 Aug 2016Publisher:IEEEJournal:2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP)

Authors: Yana I. Shedlovska; Volodymyr V. Hnatushenko;

doi: 10.1109/dsmp.2016.7583537

Shadow detection and removal using a shadow formation model

- Summary
- Metrics

Abstract

This work is devoted to shadow detection and removal from very high resolution (VHR) satellite images. As an example, a WorldView-2 satellite image of an urban area was processed. The presence of shadows can cause a loss of a significant part of useful information. To restore illumination in shadowed areas and increase image quality, we have developed an efficient shadow removal algorithm. In order to obtain a shadow mask we used color transformation and thresholding. To remove shadows, a shadow formation model is used.

Related Organizations

Oles Honchar Dnipropetrovsk National University
Ukraine

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	11
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%