Learned linear models for detecting watercraft in a maritime environment
Abstract
This work provides a new, to the best of our knowledge, approach to constructing linear models for object detection in a scene. Specifically, we use representative training data in order to estimate the parameters describing a generalized wavelet model for the express purpose of detecting the presence of maritime targets in a scene. The parameter estimates are taken as those that maximize the probability of detecting the targets for a fixed probability of false alarm. The approach is then demonstrated on a database of short-wave infrared imagery containing various watercraft. Results are then compared to some of the more standard wavelet bases used in detection applications.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Aug 26, 2020
- Source ID
- 10.1364/ao.396496
Entities
People
- C. C. Olson
- Jonathan M. Nichols
Organizations
- Office of Naval Research