Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Hanlin Qin"'
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
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
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 741 (2021)
Hyperspectral imaging (HSI) has been widely investigated within the context of computational imaging due to the high dimensional challenges for direct imaging. However, existing computational HSI approaches are mostly designed for the visible to near
Externí odkaz:
https://doaj.org/article/a2c8838e1e524fcbbf3a1bf86c93ba22
Publikováno v:
Sensors, Vol 20, Iss 23, p 6941 (2020)
Detecting key frames in videos is a common problem in many applications such as video classification, action recognition and video summarization. These tasks can be performed more efficiently using only a handful of key frames rather than the full vi
Externí odkaz:
https://doaj.org/article/65886fd0937a4d00b92d91290485ba30