Paper Info
Title
Object-Oriented Shadow Detection and Removal From Urban High-Resolution Remote Sensing Images
Abstract
In accordance with the characteristics of urban high-resolution color remote sensing images, we put forward an object-oriented shadow detection and removal method. In this method, shadow features are taken into consideration during image segmentation, and then, according to the statistical features of the images, suspected shadows are extracted. Furthermore, some dark objects which could be mistaken for shadows are ruled out according to object properties and spatial relationship between objects. For shadow removal, inner-outer outline profile line (IOOPL) matching is used. First, the IOOPLs are obtained with respect to the boundary lines of shadows. Shadow removal is then performed according to the homogeneous sections attained through IOOPL similarity matching. Experiments show that the new method can accurately detect shadows from urban high-resolution remote sensing images and can effectively restore shadows with a rate of over 85%.
Year
DOI
Venue
2014
10.1109/TGRS.2014.2306233
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
change detection,remote sensing,image matching,statistical analysis,image resolution,statistical feature extraction,image segmentation,inner-outer outline profile line matching,urban high-resolution color remote sensing image characteristics,object-oriented shadow removal method,inner??outer outline profile line (ioopl),ioopl matching,object-oriented shadow detection method,image sensors,shadow detection,suspected shadow extraction,feature extraction,geophysical image processing,object-oriented,shadow removal,inner–outer outline profile line (ioopl),relative radiometric correction,gray scale,correlation,histograms,sun
Shadow,Histogram,Computer vision,Object-oriented programming,Homogeneous,Remote sensing,Property (programming),Image segmentation,Artificial intelligence,Similarity matching,Mathematics,Grayscale
Journal
Volume
Issue
ISSN
52
11
0196-2892
Citations 
PageRank 
References 
3
0.44
16
Authors
3
Name
Order
Citations
PageRank
Hongya Zhang130.78
Kaimin Sun2215.40
Wenzhuo Li3315.70