Paper Info
Title
Shadow extraction and correction from quickbird images
Abstract
Shadows in remote sensing images often result in problems for many applications such as land-cover classification, change detection, and damage detection in disasters. Due to these reasons, it is very useful if the radiance of shadowed areas is corrected to the same radiance as shadow-free areas. In this study, a shadow detection and correction method is proposed. Shadowed areas are detected by object-based classification, using brightness values and a neighbor relationship. Then the detected shadowed areas are corrected by a liner function to produce a shadow-free image. The shadowed areas with different darkness are corrected with different ratios to improve the accuracy of the result. The spectral characteristics of sunlit and shadowed areas in several QuickBird images were studied and then the shadow-free radiance was obtained.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5651608
IGARSS
Keywords
Field
DocType
remote sensing,object-based classification,land-cover classification,shadow correction,disasters,radiance measurement,shadow extraction,quickbird images,shadow detection,image classification,shadow-free image,change detection,object detection,optical image,damage detection,brightness,liner function,shadow-free radiance,remote sensing images,object-based classification detection,sunlit,pixel,optical imaging,sun,sensors,histograms
Histogram,Computer vision,Shadow,Object detection,Change detection,Computer science,Remote sensing,Pixel,Artificial intelligence,Contextual image classification,Radiance,Brightness
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4244-9564-1
978-1-4244-9564-1
2
PageRank 
References 
Authors
0.50
3
2
Name
Order
Citations
PageRank
Wen Liu18619.59
Fumio Yamazaki213521.69