Results 111 to 120 of about 34,529 (231)

Practical demonstration of robust InSAR optimization for multipass InSAR

, 2016
Multipass / multibaseline SAR interferometric measurements may suffer from, for example, non-Gaussian scatterers in the context of distributed scatterers, and unmodeled interferometric phase such as unmodeled motion phase and atmospheric phase. Robust InSAR Optimization (RIO) is a framework that systematically tackles these problems.
Wang, Yuanyuan, Zhu, Xiao Xiang
openaire   +3 more sources

InSAR-YOLOv8 for wide-area landslide detection in InSAR measurements

Scientific Reports
InSAR monitoring technology is widely used in investigating landslide hazards. Leveraging object detection algorithms to quickly extract landslide information from Wide-Area InSAR measurements is of great significance. Our InSAR-YOLOv8, an algorithm that automatically detects landslides from InSAR measurements, addresses the low accuracy and suboptimal
Ruopu Ma, Haiyang Yu, Xuejie Liu, Xinru Yuan, Tingting Geng, Pengao Li   +5 more
openaire   +2 more sources

Geomorphic signatures of reservoir–slope hazards triggered by the Baihetan Reservoir impoundment, lower Jinsha River, China

Dizhi lixue xuebao
Objective  Slope instability triggered by reservoir water-level fluctuations represents a prevalent geohazard in mountainous regions and canyons undergoing large-scale hydropower development. Since the 21st century, accelerated hydropower development has
LI Lei, GU Zhenkui, FAN Hui, YAO Chuangchuang, YAO Xin, LI Renjiang, JIANG Shu, DAI Fuchu   +7 more
doaj   +1 more source

Biomass estimation as a function of vertical forest structure and forest height. Potential and limiations for remote sensing (radar and LiDAR) [PDF]

, 2011
Forest biomass stock, spatial distribution and dynamics are unknown parameters for many regions of the world. Today’s information is largely based on ground measurements on a plot basis without coverage in many remote regions that are fundamental for the
Hajnsek, Irena, Kugler, Florian, Papathanassiou, Kostas, Toraño Caicoya, Astor   +3 more
core  

A study on multiple-model evaluation of landslide susceptibility

Carsologica Sinica
Landslides are one of the most common geological disasters in China, characterized by sudden occurrence and uncertainty. The evaluation of landslide susceptibility is a complex process.
Cheng HUANG, Yunlong DENG, Xiangsheng YAN, Xincheng ZHOU   +3 more
doaj   +1 more source

Observing Seasonal Variabilities of a Permafrost Landscape With PolSAR, InSAR and Pol-InSAR

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ...
Paloma Saporta, Alberto Alonso-González, Jennika Hammar, Inge Grünberg, Julia Boike, Irena Hajnsek   +5 more
openaire   +4 more sources

Performance Measures to Assess Resiliency and Efficiency of Transit Systems [PDF]

, 2017
Transit agencies are interested in assessing the short-, mid-, and long-term performance of infrastructure with the objective of enhancing resiliency and efficiency.
Bartin, Bekir, Deka, Devajyoti, El-Awar, Ayman, Lou, Peng, Morgul, Ender Faruk, Mudigonda, Sandeep, Na, Chaekuk, Nassif, Hani, Zhu, Yuan, Özbay, Kaan   +9 more
core   +1 more source

Model Construction of InSAR-based Rainfall Thresholds for Landslide Hazards in Yanhe Basin, Chinese Loess Plateau

Shuitu Baochi Xuebao
[Objective] Empirical rainfall thresholds have geographical limitations, it is of great significance to carry out a rainfall threshold modeling study for landslide hazard on the Chinese Loess Plateau.
WANG Zhenliang, CHEN Manyu, ZHAO Jianlin, YUAN Ke, YANG Jie, ZHANG Chen   +5 more
doaj   +1 more source

Total variation regularization for manifold-valued data

, 2013
We consider total variation minimization for manifold valued data. We propose a cyclic proximal point algorithm and a parallel proximal point algorithm to minimize TV functionals with $\ell^p$-type data terms in the manifold case.
Demaret, Laurent, Storath, Martin, Weinmann, Andreas   +2 more
core   +1 more source

Progressive InSAR phase estimation

, 2020
This paper introduces a novel scheme to progressively estimate interferometric phases from a stack of synthetic aperture radar (SAR) images. The scheme is shown to yield comparable performance to full-covariance algorithms for a realistic decorrelation scenario.
openaire   +2 more sources