Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Xianbin Wen"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Most existing scene classification methods based on remote sensing images tend to ignore important interactive information at different levels in the image. We propose an effective remote sensing scene classification method named multi-scale
Externí odkaz:
https://doaj.org/article/e1bd8ba7eff540a7b8bc8f609ff214e1
Publikováno v:
IET Image Processing, Vol 18, Iss 9, Pp 2417-2433 (2024)
Abstract Remote sensing scene images contain numerous feature targets with unrelated semantic information, so how to extract to the local key information and semantic features of the image becomes the key to achieving accurate classification. Existin
Externí odkaz:
https://doaj.org/article/b48fd34fe0c94fc3bdd6c9d5237e6021
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16815-16830 (2024)
The rapid increase in spatial resolution of remote sensing scene images (RSIs) has led to a concomitant increase in the complexity of the spatial contextual information contained therein. The coexistence of numerous smaller features makes it challeng
Externí odkaz:
https://doaj.org/article/38d347f955554cf0a50d461183589510
Publikováno v:
IET Image Processing, Vol 17, Iss 11, Pp 3106-3126 (2023)
Abstract Due to the rapid development of satellite technology, high‐spatial‐resolution remote sensing (HRRS) images have highly complex spatial distributions and multiscale features, making the classification of such images a challenging task. Th
Externí odkaz:
https://doaj.org/article/df2e70d0a8764de9990ffea99ebbafec
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 5, Pp 5865-5879 (2023)
Abstract Visual tracking is an important field of computer vision research. Although transformer-based trackers have achieved remarkable performance, the transformer structure is globally computationally inefficient, it does not screen important patc
Externí odkaz:
https://doaj.org/article/d6963341ac714b0db92a9f7d2b786106
Publikováno v:
IEEE Access, Vol 10, Pp 83125-83137 (2022)
Retinal images are the most direct and effective basis for Diabetic Retinopathy (DR) diagnosis. With the rapid development of deep learning, the technology of retinal image-assisted diagnosis based on deep learning is widely used in the field of DR i
Externí odkaz:
https://doaj.org/article/fa26f59e24ee4e5cb6ebc48e5f2119aa
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10484-10499 (2021)
Compared with natural scenes, aerial scenes are usually composed of numerous objects densely distributed within the aerial view, and thus, more key local semantic features are needed to describe them. However, when existing CNNs are used for remote s
Externí odkaz:
https://doaj.org/article/e6cde10042de4e0eaffc33f91d885067
Publikováno v:
IEEE Access, Vol 8, Pp 96920-96933 (2020)
Capsule network is a promising model in computer vision. It has achieved excellent results on simple datasets such as MNIST, but the performance deteriorates as data becomes complicated. In order to address this issue, we propose a deep capsule netwo
Externí odkaz:
https://doaj.org/article/97f2b4c0faea4b70a457025e0d194055
Publikováno v:
Remote Sensing, Vol 14, Iss 20, p 5095 (2022)
The spatial distribution of remote-sensing scene images is highly complex in character, so how to extract local key semantic information and discriminative features is the key to making it possible to classify accurately. However, most of the existin
Externí odkaz:
https://doaj.org/article/c312f61102df4a408b9f975ead9270c3
Publikováno v:
IEEE Access, Vol 7, Pp 8039-8047 (2019)
Level set methods have been widely used for image segmentation due to their good boundary detection accuracy. In the context of synthetic aperture radar (SAR) image segmentation, the presence of speckles and the distribution estimation of SAR image r
Externí odkaz:
https://doaj.org/article/acaa1beedb354e459d8f2bc4ef80d735