A Novel Separability Objective Function in CNN for Feature Extraction of SAR Images-Reference-Cited by-同舟云学术

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A Novel Separability Objective Function in CNN for Feature Extraction of SAR Images

Published:2019-03 Issue:2 Volume:28 Page:423-429
ISSN:1022-4653
Container-title:Chinese Journal of Electronics
language:en
Short-container-title:Chin. j. electron.

Author:

Gao Fei¹,Wang Meng¹,Wang Jun¹,Yang Erfu²,Zhou Huiyu³

Affiliation:

1. Department of Electronic and Information EngineeringBeihang UniversityBeijing100191China

2. Department of Design, Manufacture and Engineering Management (DMEM)University of StrathclydeGlasgowG11XQUK

3. Department of InformaticsUniversity of LeicesterLeicesterLE17RHUK

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cje.2018.12.001

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1. SAR Target Incremental Recognition Based on Features With Strong Separability;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Separability study of statistical features of RCS sequences extracted by sliding windows;Electronics Letters;2023-02

3. Persian Optical Character Recognition Using Deep Bidirectional Long Short-Term Memory;Applied Sciences;2022-11-19

4. Rotating Machinery Fault Diagnosis Method by Combining Time-Frequency Domain Features and CNN Knowledge Transfer;Sensors;2021-12-07

5. Video Stabilization via Prediction with Time‐Series Network and Image Inpainting with Pyramid Fusion;Chinese Journal of Electronics;2021-11

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