Zobrazeno 1 - 10
of 305
pro vyhledávání: '"self-supervised learning (SSL)"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 741-756 (2025)
Deep learning has shown promising performance in the field of hyperspectral image (HSI) change detection (CD). However, most of these methods often focus on local spatial-spectral information but ignore the high-order correlations contained in multit
Externí odkaz:
https://doaj.org/article/38a1137df5d84d94b527d3c3b88c3b61
Autor:
Miaomiao Liang, Xianhao Zhang, Xiangchun Yu, Lingjuan Yu, Zhe Meng, Xiaohong Zhang, Licheng Jiao
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103979- (2024)
The success of vision Transformers (ViTs) relies heavily on the self-attention mechanism, which requires support from appropriate patch tokenization. However, hyperspectral image (HSI) often suffer from significant noise distortions and spectral unce
Externí odkaz:
https://doaj.org/article/e9fa3cb5d50a4d39a90f1974270e10d0
Autor:
Mojtaba Masoudi, Sarah L.C. Giering, Noushin Eftekhari, Miquel Massot-Campos, Jean-Olivier Irisson, Blair Thornton
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17117-17133 (2024)
Automated camera-based sensors are widely used in vessel-based research to monitor plankton and marine particles. However, current methods suffer from the costly and time-consuming requirement of annotating data for fully supervised learning, especia
Externí odkaz:
https://doaj.org/article/f8fffa75b301442b9734c38fc56e3014
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15845-15861 (2024)
Synthetic aperture radar automatic target recognition (SAR ATR) has ushered in a new era dominated by deep-learning (DL) techniques. However, the DL-based recognition systems inevitably confront catastrophic forgetting for learned knowledge and overf
Externí odkaz:
https://doaj.org/article/5cd75c424a3148bb8edf41ccfd758c5b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8434-8449 (2024)
Intelligent interpretation of remote sensing images using deep learning is heavily reliant on large datasets, and models trained in one domain often struggle with crossdomain application. Pretraining the backbone network via masked image modeling can
Externí odkaz:
https://doaj.org/article/40924470fc254556ae7e946ff677a63b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4350-4367 (2024)
In this article, a new self-supervised strategy for learning meaningful representations of complex optical satellite image time series (SITS) is presented. The methodology proposed, named Unet-BERT spAtio-temporal Representation eNcoder (U-BARN), exp
Externí odkaz:
https://doaj.org/article/78300210f8244fe1be47ded252e25742
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 638-651 (2024)
Electroencephalography (EEG) datasets are characterized by low signal-to-noise signals and unquantifiable noisy labels, which hinder the classification performance in rapid serial visual presentation (RSVP) tasks. Previous approaches primarily relied
Externí odkaz:
https://doaj.org/article/00b003b031a94b3db5f243d1681e5d3a
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3530-3542 (2024)
Underwater acoustic signal classification is a critical task that involves identifying different types of signals in a complex and dynamic underwater environment, which is often contaminated by strong ambient noise. Recent studies have demonstrated t
Externí odkaz:
https://doaj.org/article/638864b7334749b99858dae0cbe1813f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3181-3196 (2024)
The integration of the transformer and convolutional neural network (CNN) has become a useful method for change detection in remote sensing images. The main function of the transformer is to capture the global features, while the CNN is more for obta
Externí odkaz:
https://doaj.org/article/d17b62cbde434372874df4f424c49674
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 535-546 (2024)
Traffic accidents threaten human lives and impose substantial financial burdens annually. Accurate estimation of accident fatal crash risk is crucial for enhancing road safety and saving lives. This article proposes an innovative approach that utiliz
Externí odkaz:
https://doaj.org/article/7543e9b06e0d4834b08964a6861c09ed