Zobrazeno 1 - 10
of 349
pro vyhledávání: '"Xingfa Gu"'
Autor:
ChenYang Weng, Yulin Zhan, Xingfa Gu, Jian Yang, Yan Liu, Hong Guo, Zilong Lian, Shiyuan Zhang, Zhangjie Wang, Xuechun Zhao
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12760-12771 (2024)
Spatiotemporal fusion is a method of fusing high spatial resolution low temporal resolution remote sensing images and low spatial resolution high temporal resolution in order to obtain high spatiotemporal resolution remote sensing images, which can p
Externí odkaz:
https://doaj.org/article/88802657f0c6412b9d3dfc26a6dfd93b
Autor:
Man Liang, Xingfa Gu, Yan Liu, Tianhai Cheng, Hongtao Cao, Hu Zhang, Qian Zhang, Yaozong Ding, Min Gao, Xiangqin Wei, Yulin Zhan
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5042-5058 (2024)
As the resolution of remote sensing quantitative inversion for albedo, clumping index, canopy height, and other biophysical parameter data is gradually refined, there is an increasing demand for higher spatial resolution bidirectional reflectance dis
Externí odkaz:
https://doaj.org/article/11219ff64c9a46c8a79ae841f8afac31
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3745 (2024)
Aerosol is an important atmospheric component that severely influences the global climate and air quality of our planet [...]
Externí odkaz:
https://doaj.org/article/0e90a79275da4ec79c04518641db58fe
Autor:
Yuan Sun, Xingfa Gu, Xiang Zhou, Jian Yang, Wangyao Shen, Yuanlei Cheng, Jin Ming Zhang, Yunping Chen
Publikováno v:
PeerJ Computer Science, Vol 10, p e2079 (2024)
Background Automatic extraction of roads from remote sensing images can facilitate many practical applications. However, thus far, thousands of kilometers or more of roads worldwide have not been recorded, especially low-grade roads in rural areas. M
Externí odkaz:
https://doaj.org/article/2cc8939b3f0e4b07bfd023e1abe2ab70
Autor:
Chunmei Wang, Xingfa Gu, Xiang Zhou, Jian Yang, Tao Yu, Zui Tao, Hailiang Gao, Qiyue Liu, Yulin Zhan, Xiangqin Wei, Juan Li, Lili Zhang, Lei Li, Bingze Li, Zhuangzhuang Feng, Xigang Wang, Ruoxi Fu, Xingming Zheng, Chunnuan Wang, Yuan Sun, Bin Li, Wen Dong
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-13 (2023)
Abstract High-quality ground observation networks are an important basis for scientific research. Here, an automatic soil observation network for high-resolution satellite applications in China (SONTE-China) was established to measure both pixel- and
Externí odkaz:
https://doaj.org/article/df8302eb1a604aa5956a0122bb8c2c5d
Publikováno v:
GIScience & Remote Sensing, Vol 60, Iss 1 (2023)
Deep learning techniques with remarkable performance have been successfully applied to hyperspectral image (HSI) classification. Due to the limited availability of training data, earlier studies primarily adopted the patch-based classification framew
Externí odkaz:
https://doaj.org/article/870e603544d640aeb8a29b59cd86e227
Autor:
Miao Liu, Yulin Zhan, Juan Li, Yupeng Kang, Xiuling Sun, Xingfa Gu, Xiangqin Wei, Chunmei Wang, Lingling Li, Hailiang Gao, Jian Yang
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1865 (2024)
Vegetation classification has always been the focus of remote sensing applications, especially for tropical regions with fragmented terrain, cloudy and rainy climates, and dense vegetation. How to effectively classify vegetation in tropical regions b
Externí odkaz:
https://doaj.org/article/9b9f753ce0d44e0095a7d1f2909b3e6d
Autor:
Jiawei Cui, Juan Li, Xingfa Gu, Wenhao Zhang, Dong Wang, Xiuling Sun, Yulin Zhan, Jian Yang, Yan Liu, Xiufeng Yang
Publikováno v:
Atmosphere, Vol 15, Iss 5, p 598 (2024)
Due to budget and sensor technology constraints, a single sensor cannot simultaneously provide observational images with both a high spatial and temporal resolution. To solve the above problem, the spatiotemporal fusion (STF) method was proposed and
Externí odkaz:
https://doaj.org/article/8ee271d2b3ed42bb83feb4df937533cc
Autor:
Chunnuan Wang, Tao Yu, Xingfa Gu, Chunmei Wang, Xingming Zheng, Qiuxia Xie, Jian Yang, Qiyue Liu, Lili Zhang, Juan Li, Lingling Li, Miao Liu, Meiyu Ru, Xinxin Qiu
Publikováno v:
Atmosphere, Vol 15, Iss 4, p 441 (2024)
The utilization of remote sensing soil moisture products in agricultural and hydrological studies is on the rise. Conducting a regional applicability analysis of these soil moisture products is essential as a preliminary step for their effective util
Externí odkaz:
https://doaj.org/article/ddcd0b33695d488eb8f27c31e2930d38
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1410 (2024)
Atmospheric aerosols affect climate change, air quality, and human health. The aerosol optical depth (AOD) is a widely utilized parameter for estimating the concentration of atmospheric aerosols. Consequently, continuous AOD monitoring is crucial for
Externí odkaz:
https://doaj.org/article/c2ec3e2a9ec34aa1a1997c4ac7b833da