Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Pei-Jun Lee"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16329-16341 (2024)
Water segmentation is important for applications in flood prevention, water resource management, and urban planning. The accurate identification of water–land interface zones and the delineation of edges between water and land in remote sensing sat
Externí odkaz:
https://doaj.org/article/af9dc0c1de214435be9df69958cce8ae
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4071-4083 (2024)
Edge computing enables rapid data processing and decision-making on satellite payloads. Deploying deep learning-based techniques for low-light image enhancement improves early detection and tracking accuracy on satellite platforms, but it faces chall
Externí odkaz:
https://doaj.org/article/f8452ac485024e46985d97b9b4c37560
Publikováno v:
Aerospace, Vol 11, Iss 5, p 336 (2024)
CubeSats are designed to optimize applications within the strict constraints of space and power. This paper presents an On-Board Image Enhancement technique for remote sensing payloads, focusing on achieving Auto White Balance (AWB) with limited reso
Externí odkaz:
https://doaj.org/article/ef2e7cd6c28c4c14bac6b9633f49ad9a
Autor:
Trong-An Bui, Pei-Jun Lee
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 10369-10380 (2023)
This article proposes a deep learning approach for small surface water recognition using multispectral satellite imaging, which reduces the computational complexity by 18.66 times and increases the accuracy of surface water recognition by up to 14.1%
Externí odkaz:
https://doaj.org/article/1ea3e55f751d4dfd82d7fbbe261f742d
Publikováno v:
IEEE Access, Vol 10, Pp 52840-52852 (2022)
This paper proposes an edge computing-based video coding implementation on an Earth observation satellite (SAT-video coding), which can encode video using limited resources and the power of mini/microsatellites. SAT-video coding proposes a hardware-r
Externí odkaz:
https://doaj.org/article/4428af7a49be4d9ab519ed4588790240
Autor:
Shofuro Afifah, Amirullah Wijayanto, Ya-Ling Liu, Shien-Kuei Liaw, Pei-Jun Lee, Chien-Hung Yeh, Ochi Hiroshi
Publikováno v:
Photonics, Vol 10, Iss 4, p 383 (2023)
Underwater wireless optical communication (UWOC) is a promising solution for Gb/s rate and long-distance underwater communication. However, random changes in the local temperature and salinity of seawater have caused different refractive indices of o
Externí odkaz:
https://doaj.org/article/eb20fac95e254461811f965ade7cd220
Publikováno v:
IEEE Access, Vol 8, Pp 143665-143678 (2020)
Using the optical camera in remote sensing is limited in various environmental conditions. This paper presents a system of combining deep learning and image transform algorithms to detect landslide location in satellite images. In the deep learning p
Externí odkaz:
https://doaj.org/article/ca87571b6c9049e9b13f648a7fc0f0fa
Autor:
Pei-Jun Lee, 李佩君
92
This dissertation presents some error concealment algorithms for three current developing Image and Video standards that are essential for real-time digital Image/Video transmission systems. Digital Image/Video transmission is widely used in
This dissertation presents some error concealment algorithms for three current developing Image and Video standards that are essential for real-time digital Image/Video transmission systems. Digital Image/Video transmission is widely used in
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/78461196300848315619
Autor:
Pei-Jun Lee
Thesis (Ph.D.)--National Taiwan University Graduate Institute of Electrical Engineering
Non-Latin script record. Includes bibliographical references
Non-Latin script record. Includes bibliographical references
Autor:
Pei-Jun Lee, 李佩君
87
With the rapid progress of the combination of computer, telecommunication and multimedia, the three fields become the focus of technical study. The block-matching motion estimation algorithms (BMAs) are widely used to eliminate temporal redun
With the rapid progress of the combination of computer, telecommunication and multimedia, the three fields become the focus of technical study. The block-matching motion estimation algorithms (BMAs) are widely used to eliminate temporal redun
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/53241738144703205119