Deep Multi-Look Sequence Processing for Synthetic Aperture Sonar Image Segmentation-Reference-Cited by-同舟云学术

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Deep Multi-Look Sequence Processing for Synthetic Aperture Sonar Image Segmentation

Published:2023 Issue: Volume:61 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Gerg Isaac D.¹^ORCID,Monga Vishal²^ORCID

Affiliation:

1. Applied Research Laboratory and the School of Electrical Engineering and Computer Science, Pennsylvania State University, State College, PA, USA

2. School of Electrical Engineering and Computer Science, Pennsylvania State University, University Park, PA, USA

Funder

Office of Naval Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10008947.pdf?arnumber=10008947

Reference73 articles.

1. UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

2. SeMask: Semantically masked transformers for semantic segmentation;jain;arXiv 2112 12782,2021

3. Efficient Fast Semantic Segmentation Using Continuous Shuffle Dilated Convolutions

4. See more than once: Kernel-sharing atrous convolution for semantic segmentation

5. Multi-look processing of high-resolution SAS data for improved target detection performance

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