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 …

Open set recognition in real world

Z Yang, J Yue, P Ghamisi, S Zhang, J Ma… - International Journal of …, 2024 - Springer
Open set recognition (OSR) constitutes a critical endeavor within the domain of computer
vision, frequently deployed in applications, such as autonomous driving and medical …

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 …

[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 …

Toward Open-World Remote Sensing Imagery Interpretation: Past, present, and future

C Lang, G Cheng, J Wu, Z Li, X **e… - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
Artificial intelligence solutions, especially those based on deep learning, have swept
through the realm of remote sensing image understanding over the past decade. Despite …

Open-set event recognition model using 1-D RL-CNN with OpenMax algorithm for distributed optical fiber vibration sensing system

Z Zhou, W Jiao, X Hu, D Zhang, J Qu… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Distributed optical fiber vibration sensing system (DVS) based on phase-sensitive optical
time domain reflectometer (OTDR) is widely used for its simple structure and high sensitivity …

MF-DCMANet: A multi-feature dual-stage cross manifold attention network for PolSAR target recognition

F Li, C Zhang, X Zhang, Y Li - Remote Sensing, 2023 - mdpi.com
The distinctive polarization information of polarimetric SAR (PolSAR) has been widely
applied to terrain classification but is rarely used for PolSAR target recognition. The target …

Advanced vision transformers and open-set learning for robust mosquito classification: A novel approach to entomological studies

AAJ Karim, MZ Mahmud, R Khan - PLOS Computational Biology, 2024 - journals.plos.org
Mosquito-related diseases pose a significant threat to global public health, necessitating
efficient and accurate mosquito classification for effective surveillance and control. This work …

FB-CCNN: a filter bank complex spectrum convolutional neural network with artificial gradient descent optimization

D Xu, F Tang, Y Li, Q Zhang, X Feng - Brain Sciences, 2023 - mdpi.com
The brain–computer interface (BCI) provides direct communication between human brains
and machines, including robots, drones and wheelchairs, without the involvement of …

Domain adaptive few-shot learning for ISAR aircraft recognition with transferred attention and weighting importance

B Li, Y Yao, Q Wang - Electronics, 2023 - mdpi.com
With the enhancement of air-based and space-based perception capabilities, space-
aeronautics incorporation and integration is growing in importance. Full domain awareness …