Open-world recognition in remote sensing: Concepts, challenges, and opportunities

L Fang, Z Yang, T Ma, J Yue, W **e… - IEEE Geoscience and …, 2024‏ - ieeexplore.ieee.org
In recent years, remote sensing recognition technology has found extensive applications in
diverse fields, such as modern agriculture, forest management, urban planning, natural …

LIME-assisted automatic target recognition with SAR images: Toward incremental learning and explainability

AH Oveis, E Giusti, S Ghio, G Meucci… - IEEE Journal of …, 2023‏ - ieeexplore.ieee.org
Integrating an automatic target recognition (ATR) system into real-world applications
presents a challenge as it may frequently encounter new samples from unseen classes. To …

Let model keep evolving: Incremental learning for encrypted traffic classification

X Li, J **e, Q Song, Y Sang, Y Zhang, S Li, T Zang - Computers & Security, 2024‏ - Elsevier
Abstract Encrypted Traffic Classification (ETC) is valuable for many network management
and security solutions as it provides insights into applications active on the network …

[HTML][HTML] Open-set recognition model for SAR target based on capsule network with the KLD

C Jiang, H Zhang, R Zhan, W Shu, J Zhang - Remote Sensing, 2024‏ - mdpi.com
Synthetic aperture radar (SAR) automatic target recognition (ATR) technology has seen
significant advancements. Despite these advancements, the majority of research still …

Multimodal discriminative feature learning for SAR ATR: A fusion framework of phase history, scattering topology, and image

Z Wen, Y Yu, Q Wu - IEEE Transactions on Geoscience and …, 2023‏ - ieeexplore.ieee.org
Deep learning has emerged as the dominant paradigm for synthetic aperture radar (SAR)
automatic target recognition (ATR), which induces discriminative visual features from target …

A Threshold Insensitive Open Set Recognition Scheme for UAV Targets based on HRRP

S Tao, M Mei, J Luo, L Yan… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
In the field of radar target recognition, open set recognition can be used to solve non-
cooperative target recognition. The main difficulty of open set recognition is finding a closed …

Credible Recognition of Radar Images: Interpretability Metric and Classification Score

AH Oveis, E Giusti, S Ghio, G Meucci… - IGARSS 2023-2023 …, 2023‏ - ieeexplore.ieee.org
Automatic target recognition (ATR) is one of the most demanding applications of synthetic
aperture radar (SAR) in the field of radar reconnaissance and surveillance. Convolutional …

Open set target recognition based on multi-task compressed sensing using multi-view high range resolution profiles

H Zhang, S Liu, S Teng, S Qu, J Deng, Z Yu - IET Conference Proceedings …, 2023‏ - IET
This paper focuses on a specific application for a target recognition system. That is, the
system input may be out-of-library from an unknown category and multiple observations can …

OpenMax-CCO: An Open Set Recognition Algorithm for Radar Emitter Signal Based on OpenMax Class Center Optimization

J Yang, J Zhu, W Zhu - Proceedings of the 2023 6th International …, 2023‏ - dl.acm.org
Aiming at the problem that most radar emitter signal recognition methods cannot recognize
unknown signals, this paper proposes an OpenMax-class center optimization (CCO) …