Zobrazeno 1 - 10
of 585
pro vyhledávání: '"Shengyong Chen"'
Publikováno v:
Research, Vol 7 (2024)
Pixel-level structure segmentations have attracted considerable attention, playing a crucial role in autonomous driving within the metaverse and enhancing comprehension in light field-based machine vision. However, current light field modeling method
Externí odkaz:
https://doaj.org/article/aa662158dd764473b5d820a83edff71a
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 6642-6655 (2023)
Remote sensing ship recognition technology is one of the important research areas for achieving ocean security monitoring. However, maritime ship targets features such as multiscale, arbitrary direction, and dense arrangement, and their imaging is of
Externí odkaz:
https://doaj.org/article/f7a9f608347b407cba540cd9bef64064
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 5811-5825 (2022)
With the extensive application of artificial intelligence, ship detection from optical satellite remote sensing images using deep learning technology can significantly improve detection accuracy. However, the existing methods usually have complex mod
Externí odkaz:
https://doaj.org/article/7ba7c56987b74acfbb0e377a8c53cf66
Publikováno v:
IET Image Processing, Vol 15, Iss 1, Pp 91-100 (2021)
Abstract According to observations, different visual objects have different salient features in different scenarios. Even for the same object, its salient shape and appearance features may change greatly from time to time in a long‐term tracking ta
Externí odkaz:
https://doaj.org/article/39f951463ceb43d09637caf32807d831
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 12273-12286 (2021)
Fusing a low spatial resolution hyperspectral image (LR-HSI) with a high spatial but low spectral resolution multispectral image (HR-MSI) has been regarded as an effective approach to obtain high resolution HSI (HR-HSI). While matrix factorization-ba
Externí odkaz:
https://doaj.org/article/c3d2ddc938ab4557bf67098c30451983
Publikováno v:
IET Image Processing, Vol 14, Iss 11, Pp 2495-2502 (2020)
Kernel‐based extreme learning machine (KELM) solves the problem of random initialisation of extreme learning machine (ELM), and it has a faster learning speed and higher learning accuracy. However, when it comes to a scenario in which the dimension
Externí odkaz:
https://doaj.org/article/7cb3686f681a408ca04cc33cbd562a30
Publikováno v:
IEEE Access, Vol 8, Pp 53049-53061 (2020)
Low-rank (LR) and total variation (TV) are two most frequent priors that occur in image processing problems, and they have sparked a tremendous amount of researches, particularly for moving from scalar to vector, matrix or even high-order based funct
Externí odkaz:
https://doaj.org/article/1a51d060aef140a49a8431235da8fd7a
Publikováno v:
IEEE Access, Vol 8, Pp 82142-82152 (2020)
As a method of predicting the target's attention distribution, gaze estimation plays an important role in human-computer interaction. In this paper, we learn a 3D gaze estimator with adaptive weighted strategy to get the mapping from the complete ima
Externí odkaz:
https://doaj.org/article/997b9d1ff8b84d87b018aa0ba8a0e53b
Publikováno v:
IEEE Access, Vol 8, Pp 105082-105093 (2020)
Great progress has been made in the field of pedestrian detection, but the following two problems have not yet been well addressed. One problem is the missed detection of small scale pedestrain as false negative failure, and the other one is confusio
Externí odkaz:
https://doaj.org/article/bde177a762cc4e69b8dc2c03a1ef3384
Publikováno v:
IEEE Access, Vol 8, Pp 212247-212257 (2020)
Multivariate time series classification (MTSC) is a fundamental and essential research problem in the domain of time series data mining. Recently deep neural networks emerged as an end-to-end solution for MTSC and achieve state-of-the-art results on
Externí odkaz:
https://doaj.org/article/3ffb50dbe04d4d59bebd05bcc070e207