Zobrazeno 1 - 10
of 2 392
pro vyhledávání: '"Licheng, Jiao"'
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-22 (2024)
Abstract Meniscal injury represents a common type of knee injury, accounting for over 50% of all knee injuries. The clinical diagnosis and treatment of meniscal injury heavily rely on magnetic resonance imaging (MRI). However, accurately diagnosing t
Externí odkaz:
https://doaj.org/article/8e203c6b70be42fe9dda90ebddee2428
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
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103927- (2024)
In recent years, object detection in Synthetic-Aperture Radar (SAR) images still faces many challenges, especially for ship detection. Small or dense ships are vulnerable to the interference of complex scenes such as ports and land. In feature extrac
Externí odkaz:
https://doaj.org/article/64ce791b11934191baff85e343d8f4ce
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19361-19379 (2024)
Hyperspectral image classification (HSI) is the process of segmenting an image into distinct land cover types by analyzing the rich spectral information of each pixel, with the key lying in feature extraction. Benefiting from the superior ability to
Externí odkaz:
https://doaj.org/article/c9d7767b5a5e496087dddab0d7cb5397
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17710-17724 (2024)
Self-supervised contrastive learning can help alleviating the meet of large numbers of annotated samples and learning high-level representations from unlabeled data. However, the high diversities in ground objects make it difficult to learn the featu
Externí odkaz:
https://doaj.org/article/875f43783c1049fa9564550234a12d35
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16433-16448 (2024)
Polarimetric synthetic aperture radar (PolSAR) image interpretation is widely used in various fields. Recently, deep learning has made significant progress in PolSAR image classification. Supervised learning (SL) requires a large amount of labeled Po
Externí odkaz:
https://doaj.org/article/9fb9630afdf44caba10a73170b6f8aff
Autor:
Licheng Jiao, Yilin Shao, Long Sun, Fang Liu, Shuyuan Yang, Wenping Ma, Lingling Li, Xu Liu, Biao Hou, Xiangrong Zhang, Ronghua Shang, Yangyang Li, Shuang Wang, Xu Tang, Yuwei Guo
Publikováno v:
IEEE Access, Vol 12, Pp 133245-133314 (2024)
The advent of the sixth generation of mobile communications (6G) ushers in an era of heightened demand for advanced network intelligence to tackle the challenges of an expanding network landscape and increasing service demands. Deep Learning (DL), as
Externí odkaz:
https://doaj.org/article/de6899962b5448d1b047705b75b004a2
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15583-15595 (2024)
Synthetic aperture radar (SAR) has been widely used in maritime domain awareness, especially in ship detection, due to the capability of working all-day and all-weather. In the detection of SAR ships, there are significant challenges in sea clutter,
Externí odkaz:
https://doaj.org/article/2eaf8461a86e40f5a58b954663b914f6
Satellite Videos Object Tracking Based on Enhanced Correlation Filter With Motion Prediction Network
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12123-12137 (2024)
With the maturity of satellite imaging technology, satellite video has attracted more and more attention because of high spatial resolution and temporal resolution. Thus, object tracking as the main application task of satellite videos also becomes a
Externí odkaz:
https://doaj.org/article/0f807dc26e7a4e40b61d13683b6c6b54
Autor:
Guozhang Liu, Baochai Peng, Ting Liu, Pan Zhang, Mengke Yuan, Chaoran Lu, Ningning Cao, Sen Zhang, Simin Huang, Tao Wang, Xiaoqiang Lu, Licheng Jiao, Qiong Liu, Lingling Li, Fang Liu, Xu Liu, Yuting Yang, Kaiqiang Chen, Zhiyuan Yan, Deke Tang, Hai Huang, Michael Schmitt, Xian Sun, Gemine Vivone, Claudio Persello, Ronny Hansch
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11194-11207 (2024)
This article presents the scientific outcomes of the 2023 Data Fusion Contest (DFC23) organized by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society. The contest consists of two tracks investigat
Externí odkaz:
https://doaj.org/article/f5129bad952b4726a7a7b5a1f96c4c8f