Paper Info
Title
Appearance-Based Automatic Target Recognition in Overhead LADAR Range Imagery
Abstract
This paper presents an algorithm for automatic target recognition in overhead LADAR range imagery using "appearance- based" models. The detection is accomplished using a two stage Hough transform where the target is modelled as a small set of boundary pixels with associated local properties. The first stage Hough transform keeps tracks of all the edge points matched by the model points. The second stage Hough transform then efficiently identifies the candidate space by incrementing the accumulator array along precomputed (for each model point) swaths. A robust estimator, the MAD, is then used to do the template matching directly on the second stage solutions which are already very accurate. Finally, we illustrate our algorithm on some real LADAR images and discuss the error rates.
Year
DOI
Venue
1998
10.1109/ICPR.1998.711945
ICPR
Keywords
Field
DocType
stage solution,automatic target recognition,overhead ladar range imagery,model point,error rate,edge point,accumulator array,candidate space,boundary pixel,real ladar image,appearance-based automatic target recognition,decision support systems,hough transform,laser radar,template matching,robust estimator,mad,object recognition,radar imaging
Template matching,Computer vision,Radar imaging,Pattern recognition,Automatic target recognition,Computer science,Hough transform,Robust statistics,Artificial intelligence,Pixel,Small set,Cognitive neuroscience of visual object recognition
Conference
ISSN
ISBN
Citations 
1051-4651
0-8186-8512-3-2
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
Vasanth Philomin140993.18
David Harwood24199359.05
Larry S. Davis3142012690.83