Výsledky vyhledávání

Akademický článek

Early Identification of Potential Landslide Geohazards in Alpine-canyon Terrain Based on SAR Interferometry—a Case Study of the Middle Section of Yalong River

Autor: DAI Keren, TIE Yongbo, XU Qiang, FENG Ye, ZHUO Guanchen, SHI Xianlin

Publikováno v: Leida xuebao, Vol 9, Iss 3, Pp 554-568 (2020)

Landslide disasters occur frequently in the western mountainous regions of China and are characterized by high concealment, suddenness, and strong destructiveness. Early identification of potential disaster hazards is the most effective disaster prev

Externí odkaz: https://doaj.org/article/d946c5aa491f4df095e36815e24ef9fb

Zobrazit plný text záznamu

Akademický článek

Retraction Note: Land subsidence in Beijing from 2017-2018 revealed by Sentinel-1A TOPS time series interferometry

Autor: Ran Peilian, Li Shaoda, Dai Keren, Yang Xiaoxia

Publikováno v: E3S Web of Conferences, Vol 218, p 04034 (2020)

The Guest Editors and the Publisher have retracted this article. This paper has been formally retracted from publication by the authors on ethical grounds. Actually, one of the authors (Mr. Peilian Ran) neglected that a similar paper was already pres

Externí odkaz: https://doaj.org/article/6542dd3393714f29b41085978c67d8b6

Zobrazit plný text záznamu

Akademický článek

Land subsidence in Beijing from 2017-2018 revealed by Sentinel-1A TOPS time series interferometry

Autor: Ran Peilian, Li Shaoda, Dai Keren, Yang Xiaoxia

Publikováno v: E3S Web of Conferences, Vol 218, p 04002 (2020)

Beijing is one of the largest cities in China, which has suffered from land subsidence for a long time. According to the study from 2005 to 2017, the maximum subsidence rate of Beijing is more than 10 cm/year. This paper will use Sentinel-1A TOPS dat

Externí odkaz: https://doaj.org/article/c3b413af8bd04347b7b49bc09b2bf5f2

Zobrazit plný text záznamu

Akademický článek

Mini-Satellite Fucheng 1 SAR: Interferometry to Monitor Mining-Induced Subsidence and Comparative Analysis with Sentinel-1.

Autor: Feng, Shumin^1,2 (AUTHOR), Dai, Keren^1,2 (AUTHOR) daikeren17@cdut.edu.cn, Sun, Tiegang³ (AUTHOR), Deng, Jin^1,4 (AUTHOR), Tang, Guangmin^1,5 (AUTHOR), Han, Yakun^1,4 (AUTHOR), Ren, Weijia⁶ (AUTHOR), Sang, Xiaoru⁶ (AUTHOR), Zhang, Chenwei⁶ (AUTHOR), Wang, Hao⁶ (AUTHOR)

Publikováno v: Remote Sensing. Sep2024, Vol. 16 Issue 18, p3457. 17p.

Zobrazit plný text záznamu

Plný text ve formátu HTML

Report

Anti-Delay Kalman Filter Fusion Algorithm for Vehicle-borne Sensor Network with Finite-Time Convergence

Autor: Yu, Hang, Dai, Keren, Li, Haojie, Zou, Yao, Ma, Xiang, Ma, Shaojie, Zhang, He

Intelligent vehicles in autonomous driving and obstacle avoidance, the precise relative state of vehicles put forward a higher demand. For a vehicle-borne sensor network with time-varying transmission delays, the problem of coordinate fusion of vehic

Externí odkaz: http://arxiv.org/abs/2209.12666