Paper Info
Title
Fully Automatic Subpixel Image Registration of Multiangle CHRIS/Proba Data
Abstract
Subpixel image registration is the key to successful image fusion and superresolution enhancement of multiangle satellite data. Multiangle image registration poses two main challenges: 1) Images captured at large view angles are susceptible to resolution change and blurring, and 2) local geometric distortion caused by topographic effects and/or platform instability may be important. In this paper, we propose a two-step nonrigid automatic registration scheme for multiangle satellite images. In the first step, control points (CPs) are selected in a preregistration process based on the scale-invariant feature transform (SIFT). However, the number of CPs obtained in this first step may be too few and/or CPs may be unevenly distributed. To remediate these problems, in a second step, the preliminary registered image is subdivided into chips of 64 × 64 pixels, and each chip is matched with a corresponding chip in the reference image using normalized cross correlation (NCC). By doing so, more CPs with better spatial distribution are obtained. Two criteria are applied during the generation of CPs to identify outliers. Selected SIFT and NCC CPs are used for defining a nonrigid thin-plate-spline model. The proposed registration scheme has been tested using data from the Compact High Resolution Imaging Spectrometer (CHRIS) onboard the Project for On-Board Autonomy (Proba) satellite. Experimental results demonstrate that the proposed method works well in areas with little variation in topography. Application in areas with more pronounced relief would require the use of orthorectified image data in order to achieve subpixel registration accuracy.
Year
DOI
Venue
2010
10.1109/TGRS.2010.2042813
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
geophysical techniques,remote sensing,spatial distribution,project for on-board autonomy satellite,image fusion,nonrigid thin-plate-spline model,topographic effects,image resolution,image blurring,automatic registration,control point selection,$m$-estimator sample consensus (msac),fully automatic subpixel image registration,multiangle chris-proba data,resolution change,superresolution enhancement,multiangle satellite data,chris/proba,feature extraction,geophysical image processing,image data orthorectification,local geometric distortion,scale-invariant feature transform (sift),compact high resolution imaging spectrometer,platform instability,scale-invariant feature transform,image registration,image enhancement,thin plate spline (tps),splines (mathematics),normalized cross correlation (ncc),normalized cross correlation,chip,thin plate spline,scale invariant feature transform
Scale-invariant feature transform,Computer vision,Imaging spectrometer,Image fusion,Remote sensing,Feature extraction,Pixel,Artificial intelligence,Subpixel rendering,Image resolution,Mathematics,Image registration
Journal
Volume
Issue
ISSN
48
7
0196-2892
Citations 
PageRank 
References 
26
1.18
18
Authors
3
Name
Order
Citations
PageRank
Jianglin Ma1876.76
Jonathan Cheung-Wai Chan215518.46
Frank Canters317021.66