JOURNAL ARTICLE

Automatic shadow detection and radiometric restoration on digital aerial images

Abstract

This paper develops automatic procedures for shadow detection and radiometric restoration of features under cast shadows in aerial images. Techniques including recursive quad-tree image partition, adaptive thresholding, region growing segmentation, mathematical morphology, and local histogram matching are applied to automatically extract the regions of building-cast shadows and to restore the brightness of those pixels within the shadow regions. Empirical results show that the detail information of features within the shadow regions is enhanced by applying the techniques developed in this paper.

Keywords:
Artificial intelligence Shadow (psychology) Computer vision Computer science Thresholding Histogram Image segmentation Brightness Pixel Aerial image Segmentation Mathematical morphology Image processing Image (mathematics)

Metrics

21
Cited By
1.28
FWCI (Field Weighted Citation Impact)
11
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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