Perspective on Explainable SAR Target Recognition

Perspective on Explainable SAR Target Recognition

SAR Automatic Target Recognition (ATR) is a key task in microwave remote sensing. Recently, Deep Neural Networks (DNNs) have shown promising results in SAR ATR. However, despite the success of DNNs, their underlying reasoning and decision mechanisms operate essentially like a black box and are unkno...

Bibliografske podrobnosti
Main Authors:	GUO Weiwei, ZHANG Zenghui, YU Wenxian, SUN Xiaohua
Format:	Article
Jezik:	English
Izdano:	China Science Publishing & Media Ltd. (CSPM) 2020-06-01
Serija:	Leida xuebao
Teme:	sar automatic target recognition (atr) deep learning explainability and interpretability explainable machine learning
Online dostop:	http://radars.ie.ac.cn/article/doi/10.12000/JR20059?viewType=HTML

Podobne knjige/članki

LIME-Assisted Automatic Target Recognition With SAR Images: Toward Incremental Learning and Explainability
od: Amir Hosein Oveis, et al.
Izdano: (2023-01-01)

EXplainable Artificial Intelligence (XAI)—From Theory to Methods and Applications
od: Evandro S. Ortigossa, et al.
Izdano: (2024-01-01)

Adversarial Deception Against SAR Target Recognition Network
od: Fan Zhang, et al.
Izdano: (2022-01-01)

Deep Learning as Applied in SAR Target Recognition and Terrain Classification
od: Xu Feng, et al.
Izdano: (2017-04-01)

Explainability of deep learning models in medical video analysis: a survey
od: Michal Kolarik, et al.
Izdano: (2023-03-01)

Incremental SAR Automatic Target Recognition With Error Correction and High Plasticity
od: Jiaxin Tang, et al.
Izdano: (2022-01-01)

When Deep Learning Meets Multi-Task Learning in SAR ATR: Simultaneous Target Recognition and Segmentation
od: Chenwei Wang, et al.
Izdano: (2020-11-01)

Opening the Black-Box: Extracting Medical Reasoning from Machine Learning Predictions
od: Marius FERSIGAN, et al.
Izdano: (2021-09-01)

From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?
od: Guangming Huang, et al.
Izdano: (2024-12-01)

Potential Applications of Explainable Artificial Intelligence to Actuarial Problems
od: Catalina Lozano-Murcia, et al.
Izdano: (2024-02-01)

Optimal azimuth angle selection for limited SAR vehicle target recognition
od: Linbin Zhang, et al.
Izdano: (2024-04-01)

CycleGAN-Based SAR-Optical Image Fusion for Target Recognition
od: Yuchuang Sun, et al.
Izdano: (2023-11-01)

Multiview Deep Feature Learning Network for SAR Automatic Target Recognition
od: Jifang Pei, et al.
Izdano: (2021-04-01)

Explainable machine learning for public policy: Use cases, gaps, and research directions
od: Kasun Amarasinghe, et al.
Izdano: (2023-01-01)

Bridging a Gap in SAR-ATR: Training on Fully Synthetic and Testing on Measured Data
od: Nathan Inkawhich, et al.
Izdano: (2021-01-01)

Editorial: Explainable AI in Natural Language Processing
od: Somnath Banerjee, et al.
Izdano: (2024-08-01)

Affective Design Analysis of Explainable Artificial Intelligence (XAI): A User-Centric Perspective
od: Ezekiel Bernardo, et al.
Izdano: (2023-03-01)

Editorial: Explainable Artificial Intelligence (XAI) in Systems Neuroscience
od: Angela Lombardi, et al.
Izdano: (2021-10-01)

Hybrid Explainable Artificial Intelligence Models for Targeted Metabolomics Analysis of Diabetic Retinopathy
od: Fatma Hilal Yagin, et al.
Izdano: (2024-06-01)

Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition
od: Weijie Li, et al.
Izdano: (2023-01-01)

Editorial: Interpretable and explainable machine learning models in oncology
od: William Thomas Hrinivich, et al.
Izdano: (2023-03-01)

Benchmarking Perturbation-Based Saliency Maps for Explaining Atari Agents
od: Tobias Huber, et al.
Izdano: (2022-07-01)

Explainable AI: A Review of Machine Learning Interpretability Methods
od: Pantelis Linardatos, et al.
Izdano: (2020-12-01)

Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation
od: Francesco Mercaldo, et al.
Izdano: (2023-09-01)

Towards explainability for AI-based edge wireless signal automatic modulation classification
od: Bo Xu, et al.
Izdano: (2024-01-01)

Explainable artificial intelligence and machine learning: novel approaches to face infectious diseases challenges
od: Daniele Roberto Giacobbe, et al.
Izdano: (2023-12-01)

Saliency-assisted multi-label classification for explainable deep learning applications in endoscopic ENT navigation
od: Bieck Richard, et al.
Izdano: (2022-09-01)

A Survey on Explainable Artificial Intelligence (XAI) Techniques for Visualizing Deep Learning Models in Medical Imaging
od: Deepshikha Bhati, et al.
Izdano: (2024-09-01)

From What to Why, the Growing Need for a Focus Shift Toward Explainability of AI in Digital Pathology
od: Samuel P. Border, et al.
Izdano: (2022-01-01)

Making Expert Decisions Easier to Fathom: On the Explainability of Visual Object Recognition Expertise
od: Jay Hegdé, et al.
Izdano: (2018-10-01)

SignExplainer: An Explainable AI-Enabled Framework for Sign Language Recognition With Ensemble Learning
od: Deep R. Kothadiya, et al.
Izdano: (2023-01-01)

A Comparison between Explainable Machine Learning Methods for Classification and Regression Problems in the Actuarial Context
od: Catalina Lozano-Murcia, et al.
Izdano: (2023-07-01)

Multi-Aspect SAR Target Recognition Based on Non-Local and Contrastive Learning
od: Xiao Zhou, et al.
Izdano: (2023-06-01)

Background Debiased SAR Automatic Target Recognition via a Novel Causal Interventional Regularizer
od: Hongwei Dong, et al.
Izdano: (2024-01-01)

A Distinctive Explainable Machine Learning Framework for Detection of Polycystic Ovary Syndrome
od: Varada Vivek Khanna, et al.
Izdano: (2023-02-01)

Explainable Machine Learning for Scientific Insights and Discoveries
od: Ribana Roscher, et al.
Izdano: (2020-01-01)

Explaining the solutions of the unit commitment with interpretable machine learning
od: Sara Lumbreras, et al.
Izdano: (2024-09-01)

Explainable Machine Learning for Default Privacy Setting Prediction
od: Sascha Lobner, et al.
Izdano: (2021-01-01)

SAR-HUB: Pre-Training, Fine-Tuning, and Explaining
od: Haodong Yang, et al.
Izdano: (2023-11-01)

Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare
od: Tim Hulsen
Izdano: (2023-08-01)