Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Baikai Sui"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1531-1549 (2023)
Edge optimization of semantic segmentation results is a challenging issue in remote sensing image processing. This article proposes a semantic segmentation model guided by a block-in-block edge detection network named BIBED-Seg. This is a two-stage s
Externí odkaz:
https://doaj.org/article/4d85cc1d0a824495b1611f8edee82832
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 3107-3119 (2022)
Deep learning shows a strong ability in target detection, scene classification, and change detection of remote sensing. However, the training process requires a large number of samples, and the production of most high-quality training samples require
Externí odkaz:
https://doaj.org/article/d73bc493a6d340ab8e6350d7ca005118
Autor:
Renzhe Wu, Guoxiang Liu, Jichao Lv, Yin Fu, Xin Bao, Age Shama, Jialun Cai, Baikai Sui, Xiaowen Wang, Rui Zhang
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2119 (2023)
Clouds are the major source of clutter in optical remote sensing (RS) images. Approximately 60% of the Earth’s surface is covered by clouds, with the equatorial and Tibetan Plateau regions being the most affected. Although the implementation of tec
Externí odkaz:
https://doaj.org/article/88966e32252243b2bd412c7c73e4e607
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1311-1325 (2021)
The classification of remote sensing images with high spatial resolution requires considerable training samples, but the process of sample making is slow and laborious. How to guarantee the accuracy of supervised classification under the condition of
Externí odkaz:
https://doaj.org/article/b186828f7c0e4bc088fbec5a43bddbf0
Publikováno v:
Remote Sensing, Vol 15, Iss 4, p 904 (2023)
Clouds seriously limit the application of optical remote sensing images. In this paper, we remove clouds from satellite images using a novel method that considers ground surface reflections and cloud top reflections as a linear mixture of image eleme
Externí odkaz:
https://doaj.org/article/bb2ca6af2e834f8b8b23ae142cdefb90
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 4, p 274 (2020)
Timely monitoring of marine aquaculture has considerable significance for marine ecological protection and maritime safety and security. Considering that supervised learning needs to rely on a large number of training samples and the characteristics
Externí odkaz:
https://doaj.org/article/7bec27230c3d4eb5837a1da99d62529c
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 4, p 249 (2020)
The sea surface temperature (SST) is an important parameter of the energy balance on the Earth’s surface. SST prediction is crucial to marine production, marine protection, and climate prediction. However, the current SST prediction model still has
Externí odkaz:
https://doaj.org/article/82b4d3ea00fd447e999ca3f948314b80
Extraction Method of Offshore Mariculture Area under Weak Signal based on Multisource Feature Fusion
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 2, p 99 (2020)
Mariculture is crucial in environmental monitoring and safety assurance of marine environments. Certain mariculture areas are often partially or completely submerged in water, which causes the target signal to be extremely weak and difficult to detec
Externí odkaz:
https://doaj.org/article/bbfb6667b663419485d8154a0425747f
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 3, p 145 (2020)
Monitoring of offshore aquaculture zones is important to marine ecological environment protection and maritime safety and security. Remote sensing technology has the advantages of large-area simultaneous observation and strong timeliness, which provi
Externí odkaz:
https://doaj.org/article/46c155a9bc664009b0213d1a0f6a10f3
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 20:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2252fd67ffc40ffa09327bca4a6da83e
https://doi.org/10.1109/lgrs.2023.3251364
https://doi.org/10.1109/lgrs.2023.3251364