Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Jiaqing Miao"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Surface reconstruction plays a pivotal role in various fields, including reverse engineering, and oil and gas exploration. However, errors in available data and insufficient surface morphology information often introduce uncertainty into the
Externí odkaz:
https://doaj.org/article/97bfabb2f968472fb98d712e0c301941
Autor:
Jing Wang, Jiaqing Miao, Gaoping Li, Ying Tan, Shicheng Yu, Xiaoguang Liu, Li Zeng, Guibing Li
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 75 (2023)
Achieving a balance between spectral resolution and spatial resolution in multi-spectral remote sensing images is challenging due to physical constraints. Consequently, pan-sharpening technology was developed to address this challenge. While signific
Externí odkaz:
https://doaj.org/article/89e7c88a179e42df8ba5fb1dd535d014
Publikováno v:
Remote Sensing, Vol 15, Iss 15, p 3862 (2023)
In recent years, the tensor completion algorithm has played a vital part in the reconstruction of missing elements within high-dimensional remote sensing image data. Due to the difficulty of tensor rank computation, scholars have proposed many substi
Externí odkaz:
https://doaj.org/article/eb3e3c8b3d8d4f4b8244cb2eccb8c219
Publikováno v:
IET Image Processing, Vol 15, Iss 8, Pp 1702-1711 (2021)
Abstract Sparse representation is a powerful statistical image modelling technique and has been successfully applied to image denoising. For a given patch, a non‐convex non‐local similarity adaptive method is adopted for sparse representation of
Externí odkaz:
https://doaj.org/article/426f69b147c4408384a353f30cd15198
Publikováno v:
Entropy, Vol 25, Iss 3, p 523 (2023)
Utilizing low-rank prior data in compressed sensing (CS) schemes for Landsat 8–9 remote sensing images (RSIs) has recently received widespread attention. Nevertheless, most CS algorithms focus on the sparsity of an RSI and ignore its low-rank (LR)
Externí odkaz:
https://doaj.org/article/d79f75699ce945b689e09a4ce89958a5
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 4, p e29290 (2022)
BackgroundNowadays, intelligent medicine is gaining widespread attention, and great progress has been made in Western medicine with the help of artificial intelligence to assist in decision making. Compared with Western medicine, traditional Chinese
Externí odkaz:
https://doaj.org/article/e159d5a6c0714ef894fcdd43a4b31985
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5704-5718 (2020)
In recent years, sparse unmixing has attracted significant attention, as it can effectively avoid the bottleneck problems associated with the absence of pure pixels and the estimation of the number of endmembers in hyperspectral scenes. The joint-spa
Externí odkaz:
https://doaj.org/article/bdd3f929f7de4b1a969c77c9b620979d
Publikováno v:
Remote Sensing, Vol 10, Iss 6, p 961 (2018)
The Inner Mongolia Autonomous Region (IMAR) is a major source of rivers, catchment areas, and ecological barriers in the northeast of China, related to the nation’s ecological security and improvement of the ecological environment. Therefore, study
Externí odkaz:
https://doaj.org/article/1c82af9d474b4551917a203bb5901ffd
Autor:
Zonghai Huang, Jiaqing Miao, Haibei Song, Simin Yang, Yanmei Zhong, Qiang Xu, Ying Tan, Chuanbiao Wen, Jinhong Guo
Publikováno v:
Neurocomputing. 500:73-89
Autor:
Hejie Li, Ying Tan, Jiaqing Miao, Ping Liang, Jinnan Gong, Hui He, Yuhong Jiao, Fan Zhang, Yaolin Xing, Donghan Wu
Publikováno v:
Biomedical Signal Processing and Control. 82:104571