Zobrazeno 1 - 10
of 283
pro vyhledávání: '"Xiuwan Chen"'
Autor:
Cheng Jing, Weiqiang Li, Wei Wan, Feng Lu, Xinliang Niu, Xiuwan Chen, Antonio Rius, Estel Cardellach, Serni Ribó, Baojian Liu, Zhizhou Guo, Yang Nan
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 3, Pp 638-652 (2024)
In this paper, we will conclude the results of Bufeng-1 (BF-1) A/B data processing, calibration workflow, and validation of the calibrated sea surface winds, land surface soil moisture, and sea surface height measurements. Since 2019, the BF-1 missio
Externí odkaz:
https://doaj.org/article/5394b37f4fe449fda3add86cbb7096ea
Autor:
Zhizhou Guo, Baojian Liu, Wei Wan, Feng Lu, Xinliang Niu, Rui Ji, Cheng Jing, Weiqiang Li, Xiuwan Chen, Jun Yang, Zhaoguang Bai
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 4680-4689 (2022)
A new land surface clustering algorithm is developed to retrieve soil moisture (SM) using the Global Navigation Satellite System reflectometry (GNSS-R) technique. Data from the BuFeng-1 (BF-1) twin satellites A/B, a pilot mission for the Chinese GNSS
Externí odkaz:
https://doaj.org/article/9dfcfbc0a5404f5b98c69d3bd525e674
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1428 (2023)
The performance of a semantic segmentation model for remote sensing (RS) images pre-trained on an annotated dataset greatly decreases when testing on another unannotated dataset because of the domain gap. Adversarial generative methods, e.g., DualGAN
Externí odkaz:
https://doaj.org/article/e170007984eb42b8b856c32848fa919b
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4446 (2022)
Suspended sediment concentration (SSC) is an important indicator of water quality that affects the biological processes of river ecosystems and the evolution of floodplains and river channels. The in situ SSC measurements are costly, laborious and sp
Externí odkaz:
https://doaj.org/article/8fe8f3deaa9a4cdc96f6b91c102d4a0c
Publikováno v:
Sensors, Vol 22, Iss 9, p 3389 (2022)
Recently, generating dense maps in real-time has become a hot research topic in the mobile robotics community, since dense maps can provide more informative and continuous features compared with sparse maps. Implicit depth representation (e.g., the d
Externí odkaz:
https://doaj.org/article/40fdc89a190442698ce0ee354660bf4c
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1527 (2022)
Semantic segmentation is a critical problem for many remote sensing (RS) image applications. Benefiting from large-scale pixel-level labeled data and the continuous evolution of deep neural network architectures, the performance of semantic segmentat
Externí odkaz:
https://doaj.org/article/3e371156360c450ea7b23f242d99e34f
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 4000 (2021)
Soil nutrients, including soil available potassium (SAK), soil available phosphorous (SAP), and soil organic matter (SOM), play an important role in farmland soil productivity, food security, and agricultural management. Spectroscopic analysis has pr
Externí odkaz:
https://doaj.org/article/91dc4b18e6e645ba89eba470fc566093
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 364 (2021)
Recently, deep learning has become the most innovative trend for a variety of high-spatial-resolution remote sensing imaging applications. However, large-scale land cover classification via traditional convolutional neural networks (CNNs) with slidin
Externí odkaz:
https://doaj.org/article/7ff8e80b0a5141e3ab25ce9505b216c9
Publikováno v:
Sensors, Vol 15, Iss 12, Pp 31244-31267 (2015)
Wi-Fi indoor positioning algorithms experience large positioning error and low stability when continuously positioning terminals that are on the move. This paper proposes a novel indoor continuous positioning algorithm that is on the move, fusing sen
Externí odkaz:
https://doaj.org/article/6e424b4fb00a4e7bbc25122050dd2983
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1699 (2020)
Spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) provides a new opportunity for land observation. This study is the first to compare and evaluate the performance of the only two spaceborne GNSS-R satellite missions whose data are
Externí odkaz:
https://doaj.org/article/838da25fcad847afa7fb6c83c9164ded