Zobrazeno 1 - 10
of 179
pro vyhledávání: '"LEYUAN FANG"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18413-18426 (2024)
Domain adaptation has been demonstrated to be an important technique to reduce the expensive annotation costs for remote sensing segmentation. However, for remote sensing images (RSIs) acquired from different imaging modalities with significant diffe
Externí odkaz:
https://doaj.org/article/0c71498b252b45a6aeb0fd7a280c09de
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8818-8833 (2023)
The performance of semantic segmentation of remote sensing images (RSIs) heavily depends on the number of pixel-level annotations. In practice, the accumulation of pixel-level annotations for large RSIs is quite expensive or even impossible under cer
Externí odkaz:
https://doaj.org/article/28efac11726b402abc02bb80cc87969a
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
Retinal images have been proven significant in diagnosing multiple diseases such as diabetes, glaucoma, and hypertension. Retinal vessel segmentation is crucial for the quantitative analysis of retinal images. However, current methods mainly concentr
Externí odkaz:
https://doaj.org/article/070d4a470ac04940b58594f5020e35a0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9722-9732 (2022)
Fine-grained ship detection is very important in the remote sensing field. Most previous remote sensing object detection works only utilize the global features for fine-grained object detection, which ignores the local information, deteriorating the
Externí odkaz:
https://doaj.org/article/a178c846db184ae6820de7e98c9b6164
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 5468-5479 (2022)
Pansharpening in remote sensing image aims at acquiring a high-resolution multispectral (HRMS) image directly by fusing a low-resolution multispectral (LRMS) image with a panchromatic (PAN) image. The main concern is how to effectively combine the ri
Externí odkaz:
https://doaj.org/article/dbc162a6bdd04d5083c642061b3acab6
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 1089-1102 (2022)
Inevitable corruption and degeneration make the performance of subsequent high-level semantic tasks in hyperspectral images (HSIs) unsatisfactory. Despite that many denoising methods have been proposed, significant room for improvement still remains.
Externí odkaz:
https://doaj.org/article/53821f0840fd461b8b0fc9f144f480e1
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 481 (2022)
In hyperspectral target detection, the spectral high-dimensionality, variability, and heterogeneity will pose great challenges to the accurate characterizations of the target and background. To alleviate the problems, we propose a Meta-pixel-driven E
Externí odkaz:
https://doaj.org/article/b0d90d719bb3478ca118be2c6e2fdb9d
Publikováno v:
IEEE Access, Vol 6, Pp 1380-1390 (2018)
Hyperspectral image (HSI) is usually corrupted by various types of noise, including Gaussian noise, impulse noise, stripes, deadlines, and so on. Recently, sparse and low-rank matrix decomposition (SLRMD) has demonstrated to be an effective tool in H
Externí odkaz:
https://doaj.org/article/7188496a5cef4938b57bead5c5376364
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
Abstract Imaging with an adaptive optics scanning light ophthalmoscope (AOSLO) enables direct visualization of the cone photoreceptor mosaic in the living human retina. Quantitative analysis of AOSLO images typically requires manual grading, which is
Externí odkaz:
https://doaj.org/article/e9741e0bd1954ed1a093b2300dddbf58
Publikováno v:
Remote Sensing, Vol 11, Iss 5, p 534 (2019)
Spectral features cannot effectively reflect the differences among the ground objects and distinguish their boundaries in hyperspectral image (HSI) classification. Multi-scale feature extraction can solve this problem and improve the accuracy of HSI
Externí odkaz:
https://doaj.org/article/3dd6389b2ade4aee859f57a04f69804c