Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Weimin Hou"'
Publikováno v:
IEEE Access, Vol 11, Pp 109997-110009 (2023)
The information of cropland is obtained efficiently and accurately as the basis for achieving precision agriculture (PA). As the boundary between cropland and other types of land in remote sensing images with different resolutions is fuzzy, the chara
Externí odkaz:
https://doaj.org/article/097fcc59c68f435dbc228f9318044a5d
Publikováno v:
IEEE Access, Vol 11, Pp 39738-39750 (2023)
The detection of small objects in Unmanned Aerial Vehicle (UAV) images, which contain a large number of objects with extremely small pixels, has been a major challenge over the last few decades. Owing to the lack of sufficiently detailed representati
Externí odkaz:
https://doaj.org/article/2394bda6bc6d4c7297232226922bbe8d
Publikováno v:
Geo-spatial Information Science, Vol 26, Iss 1, Pp 107-124 (2023)
ABSTRACTDriven by improvements in satellite internet and Low Earth Orbit (LEO) navigation augmentation, the integration of communication and navigation has become increasingly common, and further improving navigation capabilities based on communicati
Externí odkaz:
https://doaj.org/article/9c710528361249a0aaa3dd4357053cb9
Publikováno v:
IET Computer Vision, Vol 16, Iss 7, Pp 570-580 (2022)
Abstract Most deep‐learning‐based multi‐view stereo series studies are concerned with improving the depth prediction accuracy of noise‐free images. However, it is difficult to obtain off‐the‐set clean images in practice and 3D convolution
Externí odkaz:
https://doaj.org/article/13eec5f1c270486a8fc2983a3e547c57
Publikováno v:
Sensors, Vol 24, Iss 1, p 273 (2024)
In ocean remote sensing missions, recognizing an underwater acoustic target is a crucial technology for conducting marine biological surveys, ocean explorations, and other scientific activities that take place in water. The complex acoustic propagati
Externí odkaz:
https://doaj.org/article/6d111706642244da9d43d88212f355ea
Publikováno v:
IEEE Access, Vol 10, Pp 114318-114330 (2022)
In agricultural remote sensing monitoring, climate often affects the quality of optical remote sensing image data acquisition. The acquired satellite imagery results usually contain cloud information, leading to a lack of ground data information. Unl
Externí odkaz:
https://doaj.org/article/a6949f23d7fb450f908374cd15900d5b
Autor:
Ming Zhang, Ze Ma, Mengxue Yang, Jinyuan Zhao, Baozhu Wang, Weimin Hou, Wanmei Zhang, Cong Li, Zhonghao Luo
Publikováno v:
IEEE Photonics Journal, Vol 14, Iss 4, Pp 1-8 (2022)
Since the fingerprints of numerous crucial biologic materials can be identified by terahertz (THz) spectroscopy, THz sensing have become an important approach of biological and medical detections. Particularly, benefit from the excellent capability o
Externí odkaz:
https://doaj.org/article/0d9c9c64eefe42f2b3fb721c25877ca7
Publikováno v:
Photonics, Vol 10, Iss 9, p 962 (2023)
With the rapid advancement of modern technology and radar detection systems, electromagnetic (EM) stealth technology has become increasingly significant, particularly in aircraft stealth and military radar applications. In this work, an all-metal met
Externí odkaz:
https://doaj.org/article/0bc1557e5bdc44329d7a5ce795b37db4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1447-1457 (2021)
Remote sensing image change detection method plays a great role in land cover research, disaster assessment, medical diagnosis, video surveillance, and other fields, so it has attracted wide attention. Based on a small sample dataset from SZTAKI AirC
Externí odkaz:
https://doaj.org/article/904adabfb97a4a1abb09f796c815be67
Autor:
Weimin Hou, Qin Li
Publikováno v:
IEEE Access, Vol 8, Pp 133974-133981 (2020)
Partial Sum Minimization of Singular Values (PSSV) is a powerful tool for image denoising, matrix completion and recovering underlying low-rank structure from the corrupted data via Partial Sum Minimization of Singular Values. However, the performanc
Externí odkaz:
https://doaj.org/article/422d6d738e4c4024a605af89278ce19b