Apr 28, 2019 · Aiming at the online automatic target recognition for SAR images, a visual attention based scale analysis method is introduced for the ...
Aiming at the online automatic target recognition for SAR images, a visual attention based scale analysis method is introduced for the feature extraction ...
This paper presents a visual attention model for SAR target detection, comprising a bottom-up stage and top-down process.
Missing: ATR | Show results with:ATR
FCCD-SAR: A Lightweight SAR ATR Algorithm Based on FasterNet - PMC
www.ncbi.nlm.nih.gov › PMC10422351
Aug 5, 2023 · This paper presents FCCD-SAR, a SAR target recognition algorithm based on the lightweight FasterNet network.
Study of deep transfer learning for SAR ATR based on simulated SAR images ... A lightweight convolutional neural network based on visual attention for SAR image ...
Aiming at the online automatic target recognition for SAR images, a visual attention based scale analysis method is introduced for the feature extraction and ...
Jan 9, 2024 · We propose a SAR ATR method based on a complementary cross-entropy generative adversarial network (CCEGAN), aiming to improve the robustness of the ATR model ...
This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and aerial image processing.
Missing: ATR | Show results with:ATR
An ATR method for SAR images based on the scattering parameter Gaussian mixture model (GMM) is proposed in this paper.
Abstract—Automatic Target Recognition (ATR) for military applications is one of the core processes towards enhancing intelligence and autonomously operating ...