Paper Info
Title
Seamless change detection and mosaicing for aerial imagery
Abstract
The color appearance of an object can vary widely as a function of camera sensitivity and ambient illumination. In this paper, we discuss a methodology for seamless interfacing across imaging sensors and under varying illumination conditions for two very relevant problems in aerial imaging, namely, change detection and mosaicing. The proposed approach works by estimating surface reflectance which is an intrinsic property of the scene and is invariant to both camera and illumination. We advocate SIFT-based feature detection and matching in the reflectance domain followed by registration. We demonstrate that mosaicing and change detection when performed in the high-dimensional reflectance space yields better results as compared to operating in the 3-dimensional color space.
Year
DOI
Venue
2015
10.1109/CVPRW.2015.7301393
Computer Vision and Pattern Recognition Workshops
Keywords
DocType
Volume
feature extraction,image colour analysis,image matching,image registration,image segmentation,image sensors,transforms,SIFT-based feature detection,SIFT-based feature matching,aerial imagery,camera sensitivity,imaging sensors,object color appearance,seamless change detection,seamless change mosaicing
Conference
2015
Issue
ISSN
Citations 
1
2160-7508
0
PageRank 
References 
Authors
0.34
16
3
Name
Order
Citations
PageRank
Nimisha, T.M.101.01
A. N. Rajagopalan2110692.02
Rangarajan Aravind322148.37