Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Linbin Zhang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The mechanical properties of rocks in cold regions undergo significant changes as a result of decades of freeze‒thaw cycles with seasonal variations, which can lead to a series of geological disasters, such as collapse. This study investig
Externí odkaz:
https://doaj.org/article/d6a6269980684b7fa0de084292bcd409
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10793-10812 (2024)
Synthetic aperture radar (SAR) is an active remote sensing system that utilizes radar to produce images of the Earth's surface. Due to its ability to operate under diverse weather conditions and throughout the day, SAR has gained significant attentio
Externí odkaz:
https://doaj.org/article/234aebc291354b2287ceefa308bb6eb1
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103707- (2024)
Lack of labeled data is a common problem among synthetic aperture radar (SAR) target recognition, which can be defined as few-shot and limited-data SAR target recognition. The low accuracy under scarce labeled data is mainly due to the sensitivity of
Externí odkaz:
https://doaj.org/article/ba3f0d923ac840689c4e305c4cc821c7
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10213-10225 (2021)
Automatic target recognition of synthetic aperture radar (SAR) images has been a vital issue in recent studies. The recognition methods can be divided into two main types: traditional machine learning methods and deep-learning-based methods. For most
Externí odkaz:
https://doaj.org/article/11997477981e4ca9a9191926202b478e
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10808-10820 (2021)
Most deep-learning-based target detection methods have high computational complexity and memory consumption, and they are difficult to deploy on edge devices with limited computing resources and memory. To tackle this problem, this article proposes t
Externí odkaz:
https://doaj.org/article/1baa97f168b744baa380b29a853ff08d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2778-2792 (2020)
The class imbalance problem exists widely in vision data. In these imbalanced datasets, the majority classes dominate the loss and influence the gradient. Hence, these datasets have a significantly negative impact on the performance of many state-of-
Externí odkaz:
https://doaj.org/article/e80280ff1098445087732755026014e7
Publikováno v:
Remote Sensing, Vol 15, Iss 2, p 331 (2023)
Among the current methods of synthetic aperture radar (SAR) automatic target recognition (ATR), unlabeled measured data and labeled simulated data are widely used to elevate the performance of SAR ATR. In view of this, the setting of semi-supervised
Externí odkaz:
https://doaj.org/article/35222f66d3d84927b11c50e8a1ce58a7
Publikováno v:
Membranes, Vol 12, Iss 4, p 438 (2022)
Membrane fouling limits the rapid development of membrane separations. In this study, a blend membrane containing polycationic liquid (P(BVImBr1-co-PEGMA1)) is presented that can improve the antifouling performance of polyvinylidene fluoride (PVDF) m
Externí odkaz:
https://doaj.org/article/8b2f09322efd48a5b9efa92d84b89ac1
Publikováno v:
PLoS Genetics, Vol 11, Iss 3, p e1005073 (2015)
Biological diversity on Earth depends on the multiplication of species or speciation, which is the evolution of reproductive isolation such as hybrid sterility between two new species. An unsolved puzzle is the exact mechanism(s) that causes two geno
Externí odkaz:
https://doaj.org/article/6413e7ea2279403197f5b19f6d095ad9
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-17