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Conference proceeding
Small target classification in LADAR images with fuzzy templates
Proceedings - SPIE: 3718: Automatic Target Recognition IX, pp.172-180
Proceedings Volume 3718: AEROSENSE '99 (Orlando, Florida, United States, 04/05/1999–04/09/1999)
1999
Web of Science ID: WOS:000082902000017
Abstract
This paper presents a method for image understanding that combines a fuzzy pixel-based feature extractor with a novel, multiple prototype classifier to detect and interpret small targets in LADAR intensity images when very few pixels on target are available. The method is based on the fuzzy c-means clustering algorithm (FCM). Prototypes are appended ta an unprocessed image and low-level attributes of each pixel in the combined image are computed from the 8-neighbor pixels using PCM in 9 dimensions with 5 classes. A feature vector is then extracted from each prototype using a centered n x m window. The class membership vectors of the labeled prototypes are compared to the resulting class membership vectors of each unlabeled pixel to generate a set of confidences of a pixel's membership in the prototype classes. The fuzzy partition produced by PCM retains spatial integrity of each pixel label vector and relates the pixel level information contained in the partition to pixels in the data to be labeled. The method exhibits good behavior for images that do not contain any of the original prototype targets.
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Details
- Title
- Small target classification in LADAR images with fuzzy templates
- Publication Details
- Proceedings - SPIE: 3718: Automatic Target Recognition IX, pp.172-180
- Resource Type
- Conference proceeding
- Conference
- Proceedings Volume 3718: AEROSENSE '99 (Orlando, Florida, United States, 04/05/1999–04/09/1999)
- Contributors
- F. A. Sadjadi (Editor)
- Publisher
- SPIE Press; Bellingham, WA
- Grant note
- This research was supported by the Office of Naval Research, grant N00014-96-1-0642.
- Copyright
- © (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).
- Identifiers
- WOS:000082902000017; 99380090348106600
- Academic Unit
- Public Health; Usha Kundu, MD College of Health
- Language
- English