Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Hanlin Qi"'
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4628 (2023)
A self-powered electrocoagulation system with a single-chamber aluminum–air fuel cell was employed for phosphate removal in this study. Electricity production and aluminum hydroxides in solution were also investigated. When the NaCl concentration i
Externí odkaz:
https://doaj.org/article/d5f2c33be0c34ccbacb9ca5558a8a88c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15494-15511 (2024)
Hyperspectral image (HSI) reconstruction plays a crucial role in compressive spectral imaging with coded aperture snapshot spectrometry. Although HSI reconstruction has attracted much attention in recent years, it remains a challenging problem. Exist
Externí odkaz:
https://doaj.org/article/ced36e48ae8140649941e28584caf849
Autor:
Hanlin Qi
Publikováno v:
2020 International Conference on Computing and Data Science (CDS).
This paper describes how to design the program of continuous beam and rigid frame based on MATLAB and the matrix displacement method. The paper also points out the demonstration of matrix displacement method and the principle of MATLAB programming. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f84b50d57fea16185ffee0011880b2e
https://doi.org/10.1109/cds49703.2020.00077
https://doi.org/10.1109/cds49703.2020.00077
Publikováno v:
World Journal of Surgical Oncology, Vol 20, Iss 1, Pp 1-9 (2022)
Abstract Background Immunoscore from tumor tissues was initially established to evaluate the prognosis of solid tumor patients. However, the feasibility of circulating immune score (cIS) for the prognosis of advanced gastrointestinal cancers (AGC) ha
Externí odkaz:
https://doaj.org/article/b5b73a4e23d64c75a002322a3136e13c
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3580 (2023)
With the advent of deep learning, significant progress has been made in low-light image enhancement methods. However, deep learning requires enormous paired training data, which is challenging to capture in real-world scenarios. To address this limit
Externí odkaz:
https://doaj.org/article/7ef7220041024106bc30238ed50663bc
Visual Attention and Background Subtraction With Adaptive Weight for Hyperspectral Anomaly Detection
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 2270-2283 (2021)
Anomaly detection (AD) in hyperspectral target detection is of particular interest because no prior knowledge of ground object spectra is required. However, it is difficult to utilize the salient features of hyperspectral image (HSI) and mitigate the
Externí odkaz:
https://doaj.org/article/8e5b98cfc6f74ae688bb5301b7adfe98
Publikováno v:
IEEE Access, Vol 8, Pp 42540-42549 (2020)
In this paper, a remote sensing image fusion method based on boundary measured dual-channel pulse-coupled neural network (PCNN) in multi-scale morphological gradient (MSMG) domain is proposed. Firstly, the panchromatic (PAN) image is decomposed into
Externí odkaz:
https://doaj.org/article/1489ff31567f45a69fb931220ce38916
Publikováno v:
IEEE Access, Vol 8, Pp 117961-117971 (2020)
Most CNN-based super-resolution networks require a large number of samples for model training, which may cause overfitting when trained on a specific set, and the internal self-similarity of the test image in this way has also been discarded. To reso
Externí odkaz:
https://doaj.org/article/ae0c079abe644318980a467ffaadae70
Publikováno v:
IEEE Access, Vol 8, Pp 94152-94164 (2020)
Most hyperspectral anomaly detection algorithms are based on various hypothetical models justified by different methods. The closer to the real-world scene distribution a hypothetical model is, the better detection performance usually results, albeit
Externí odkaz:
https://doaj.org/article/e21794a7db154e89ad7abe465d07f0ec
Publikováno v:
Remote Sensing, Vol 15, Iss 1, p 280 (2023)
Although various infrared imaging spectrometers have been studied, most of them are developed under the Nyquist sampling theorem, which severely burdens 3D data acquisition, storage, transmission, and processing, in terms of both hardware and softwar
Externí odkaz:
https://doaj.org/article/7ce567c319664448abfd0877e92c07ba