Zobrazeno 1 - 10
of 1 369
pro vyhledávání: '"superpixel segmentation"'
Autor:
Xiaoli Li, Jinsong Chen, Longlong Zhao, Hongzhong Li, Jin Wang, Luyi Sun, Shanxin Guo, Pan Chen, Xuemei Zhao
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7621-7639 (2024)
Superpixel segmentation is an essential step of object-oriented remote sensing image classification; the accuracy of the superpixel segmentation boundary will directly affect the classification result. Most of the traditional superpixel segmentation
Externí odkaz:
https://doaj.org/article/63e2200c5fb949428aebb49d911fba79
Publikováno v:
Journal of Applied Science and Engineering, Vol 27, Iss 4, Pp 2231-2243 (2024)
In recent years, superpixel segmentation has been widely used in image processing tasks as a preprocessing step. Superpixel segmentation aims to group pixels into homogeneous regions while maintaining edges. This paper proposes a superpixel segmentat
Externí odkaz:
https://doaj.org/article/1226d4f591b74ef093e9ece8d2d2fe1a
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTRapidly estimating post-disaster building damage via high-resolution remote sensing (HRRS) imagery is essential for initial disaster relief. However, the complex appearance of building damage poses challenges for existing methods. Specificall
Externí odkaz:
https://doaj.org/article/d0e5a7e492604600ae4a9926b69d2da5
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Underwater images commonly suffer from a variety of quality degradations, such as color casts, low contrast, blurring details, and limited visibility. Existing superpixel segmentation algorithms face challenges in achieving superior performance when
Externí odkaz:
https://doaj.org/article/01ba07c8c0084f24bc5c879f09bd222a
Sagittal balance parameters measurement on cervical spine MR images based on superpixel segmentation
Autor:
Yi-Fan Zhong, Yu-Xiang Dai, Shi-Pian Li, Ke-Jia Zhu, Yong-Peng Lin, Yu Ran, Lin Chen, Ye Ruan, Peng-Fei Yu, Lin Li, Wen-Xiong Li, Chuang-Long Xu, Zhi-Tao Sun, Kenneth A. Weber, De-Wei Kong, Feng Yang, Wen-Ping Lin, Jiang Chen, Bo-Lai Chen, Hong Jiang, Ying-Jie Zhou, Bo Sheng, Yong-Jun Wang, Ying-Zhong Tian, Yue-Li Sun
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
Introduction: Magnetic Resonance Imaging (MRI) is essential in diagnosing cervical spondylosis, providing detailed visualization of osseous and soft tissue structures in the cervical spine. However, manual measurements hinder the assessment of cervic
Externí odkaz:
https://doaj.org/article/c492a6588b914209bb37bd9f31730826
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 2971 (2024)
The multi-scale representation of remote sensing images provides various levels of image information crucial for decision-making in GIS applications and plays a significant role in information processing, data analysis, and geographic modeling. Tradi
Externí odkaz:
https://doaj.org/article/5a4a2a910f8741e6b2de7fc761e8b73f
Publikováno v:
Symmetry, Vol 16, Iss 7, p 925 (2024)
Superpixel segmentation is a popular preprocessing tool in the field of image processing. Nevertheless, conventional planar superpixel generation algorithms are inadequately suited for segmenting symmetrical spherical images due to the distinctive ge
Externí odkaz:
https://doaj.org/article/1a122566fd4041bc8413cea0edfca19e
Autor:
Pan Yang, Xinxin Zhang
Publikováno v:
Sensors, Vol 24, Iss 14, p 4760 (2024)
Semi-supervised graph convolutional networks (SSGCNs) have been proven to be effective in hyperspectral image classification (HSIC). However, limited training data and spectral uncertainty restrict the classification performance, and the computationa
Externí odkaz:
https://doaj.org/article/ea6e8d5fa8284fd6864c0b102b187aba
Publikováno v:
IET Control Theory & Applications, Vol 17, Iss 13, Pp 1779-1788 (2023)
Abstract A novel approach is presented here to solve the problem of motion occlusion and motion edge blurring in the existing scene flow estimation. First instance segmentation and superpixels are combined to segment the target and other regions in f
Externí odkaz:
https://doaj.org/article/e60d934ff7ab42b6880297af3b5f5c2d
Publikováno v:
European Journal of Remote Sensing, Vol 56, Iss 1 (2023)
ABSTRACTIn recent years, deep learning methods have been widely used for the classification of hyperspectral images. However, their limited availability under the condition of small samples remains a serious issue. Moreover, the current mainstream ap
Externí odkaz:
https://doaj.org/article/cce4688d4f8e4b67beec159920ca9f17