Zobrazeno 1 - 10
of 1 493
pro vyhledávání: '"super-resolution reconstruction"'
Autor:
WANG Chaoxue, DAI Ning
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 5, Pp 1271-1285 (2024)
Aiming at the problem of poor reconstruction due to the blurring of feature targets in remote sensing images and the influence of background noise, in this paper, a super-resolution reconstruction algorithm for remote sensing images incorporating two
Externí odkaz:
https://doaj.org/article/5ff0af01c1b44217ab7fd3a2cf85b8da
Autor:
Yan Ma, Defeng Kong
Publikováno v:
AIMS Mathematics, Vol 9, Iss 6, Pp 14525-14548 (2024)
In poor lighting and rainy and foggy bad weather environments, road traffic signs are blurred and have low recognition, etc. A super-resolution reconstruction algorithm for complex lighting and bad weather traffic sign images was proposed. First, a n
Externí odkaz:
https://doaj.org/article/23bba56d1057471d8f7df8adead09dcd
Publikováno v:
Open Physics, Vol 22, Iss 1, Pp 323-9 (2024)
In order to solve the contradiction between large aperture elements and high-resolution images, in this study, we propose an improved image-resolution method based on generative adversarial network (GAN). First, we analyze the imaging principle of th
Externí odkaz:
https://doaj.org/article/bb9637218a2b469ca119e59af2cfa425
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
Aiming at the problems of traditional image super-resolution reconstruction algorithms in the image reconstruction process, such as small receptive field, insufficient multi-scale feature extraction, and easy loss of image feature information, a supe
Externí odkaz:
https://doaj.org/article/39b5ed9b18e64278b4202bbfec3fbd1f
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionEffective pest management is important during the natural growth phases of cotton in the wild. As cotton fields are infested with “tiny pests” (smaller than 32×32 pixels) and “very tiny pests” (smaller than 16×16 pixels) during
Externí odkaz:
https://doaj.org/article/69983fe5336a4524812f473438d2bba4
Publikováno v:
PeerJ Computer Science, Vol 10, p e2208 (2024)
Many advanced super-resolution reconstruction methods have been proposed recently, but they often require high computational and memory resources, making them incompatible with low-power devices in reality. To address this problem, we propose a simpl
Externí odkaz:
https://doaj.org/article/4f48058585f94b259e08740ee21b7171
Autor:
Xiaowei Xing, Liangping Li, Mingxia Sun, Jiahu Yang, Xinhai Zhu, Fang Peng, Jianzong Du, Yue Feng
Publikováno v:
Heliyon, Vol 10, Iss 13, Pp e34163- (2024)
Objective: Invasive lung adenocarcinoma(ILA) with micropapillary (MPP)/solid (SOL) components has a poor prognosis. Preoperative identification is essential for decision-making for subsequent treatment. This study aims to construct and evaluate a
Externí odkaz:
https://doaj.org/article/c30395e43daa4624a20fdb92ac9fb1ea
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 2, Pp 63-71 (2024)
The existing image super-resolution reconstruction networks are difficult to apply to noise intensive application scenarios in coal mines. Most networks improve performance by increasing depth, which leads to problems such as ineffective extraction o
Externí odkaz:
https://doaj.org/article/6c8342e8e90c49a6a8cd6aae4c872d6d
Publikováno v:
IEEE Access, Vol 12, Pp 62882-62898 (2024)
Three-dimensional reconstruction plays a crucial role in capturing plant phenotypes and expediting the process of agricultural informatization. However, the reconstruction of small objects such as plant specimens and grains often faces challenges lik
Externí odkaz:
https://doaj.org/article/58918d3b4b4646abaed1b8c6ffb2f582
Autor:
Bolin Fu, Xidong Sun, Yuyang Li, Zhinan Lao, Tengfang Deng, Hongchang He, Weiwei Sun, Guoqing Zhou
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 2724-2761 (2023)
Vegetation is crucial for wetland ecosystems. Human activities and climate changes are increasingly threatening wetland ecosystems. Combining satellite images and deep learning for classifying marsh vegetation communities has faced great challenges b
Externí odkaz:
https://doaj.org/article/daf5c5f5d34a49469756186ccb53044d