Histogram Layers for Synthetic Aperture Sonar Imagery
- URL: http://arxiv.org/abs/2209.03878v1
- Date: Thu, 8 Sep 2022 15:33:35 GMT
- Title: Histogram Layers for Synthetic Aperture Sonar Imagery
- Authors: Joshua Peeples, Alina Zare, Jeffrey Dale, James Keller
- Abstract summary: We present a novel application of histogram layers on SAS imagery.
The addition of histogram layer(s) within the deep learning models improved performance.
- Score: 2.452410403088629
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Synthetic aperture sonar (SAS) imagery is crucial for several applications,
including target recognition and environmental segmentation. Deep learning
models have led to much success in SAS analysis; however, the features
extracted by these approaches may not be suitable for capturing certain
textural information. To address this problem, we present a novel application
of histogram layers on SAS imagery. The addition of histogram layer(s) within
the deep learning models improved performance by incorporating statistical
texture information on both synthetic and real-world datasets.
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