Estimating the performance of an automatic target recognition (ATR) system in terms of its probability of successfully identifying a target involves extensive image collection and processing, which can be very time-consuming and expensive. Therefore, we investigate the Wald sequential test for the d
Target-Centered Models and Information-Theoretic Segmentation for Automatic Target Recognition
β Scribed by Michael D. Devore; Joseph A. O'Sullivan
- Book ID
- 110417954
- Publisher
- Springer US
- Year
- 2003
- Tongue
- English
- Weight
- 181 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0923-6082
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