Daqing Ge
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View article: Two-stage combining and beamforming for FDD massive MIMO relay system with user-pair scheduling
Two-stage combining and beamforming for FDD massive MIMO relay system with user-pair scheduling Open
This paper proposes a novel two-stage combining and beamforming with user-pair scheduling (TSCBUS) scheme to address the core challenges of excessive pilot overhead in frequency division duplexing massive MIMO relay systems. Unlike existin…
View article: An Improved General Five-Component Scattering Power Decomposition Method
An Improved General Five-Component Scattering Power Decomposition Method Open
The coherency matrix serves as a valuable tool for explaining the intricate details of various terrain targets. However, a significant challenge arises when analyzing ground targets with similar scattering characteristics in polarimetric s…
View article: SAFNet: A Spatially Adaptive Fusion Network for Dual-Domain Undersampled MRI Reconstruction
SAFNet: A Spatially Adaptive Fusion Network for Dual-Domain Undersampled MRI Reconstruction Open
Undersampled magnetic resonance imaging (MRI) reconstruction aims to minimize scanning time while maintaining optimal image quality, enhancing patient comfort and clinical efficiency. Currently, parallel reconstruction strategies in both k…
View article: Increased vulnerability of Arctic potential ice roads under climate change
Increased vulnerability of Arctic potential ice roads under climate change Open
Temporary ice roads built by the process of snow compaction, watering, and icing during cold winters are lifelines for land access in remote Arctic. In the context of the Arctic amplified warming, the vulnerability of potential ice roads u…
View article: An Improved Three-Component Decomposition Method for $\pi$/4 Mode Compact PolInSAR Using Refined Volume Scattering Models
An Improved Three-Component Decomposition Method for $\pi$/4 Mode Compact PolInSAR Using Refined Volume Scattering Models Open
In this article, an improved three-component decomposition method for compact polarimetric synthetic aperture radar Interferometry (PolInSAR) is proposed to interpret the scattering mechanisms of various terrain types. In the proposed met…
View article: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Visual Foundation Model
A Transfer Learning Approach for Landslide Semantic Segmentation Based on Visual Foundation Model Open
Landslides are one of the most destructive natural disasters in the world, threatening human life and safety. With excellent performance as a foundation model for image segmentation, the segment anything model (SAM) has provided a novel pa…
View article: Quantitative Hazard Prediction of Rainfall-Induced Shallow Landslides Considering Triggering and Predisposing Factors: A Case of Natural Terrain Landslides in Hong Kong
Quantitative Hazard Prediction of Rainfall-Induced Shallow Landslides Considering Triggering and Predisposing Factors: A Case of Natural Terrain Landslides in Hong Kong Open
In recent years, torrential rainfall has triggered numerous shallow landslides in southeastern China, especially in Hong Kong. Therefore, giving a spatial-temporal hazard prediction for rainfall-induced shallow landslides in Hong Kong on a…
View article: MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection
MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Open
Relic landslide, formed over a long period, possess the potential for reactivation, making them a hazardous geological phenomenon. While reliable relic landslide detection benefits the effective monitoring and prevention of landslide disas…
View article: SAM-CFFNet: SAM-Based Cross-Feature Fusion Network for Intelligent Identification of Landslides
SAM-CFFNet: SAM-Based Cross-Feature Fusion Network for Intelligent Identification of Landslides Open
Landslides are common hazardous geological events, and accurate and efficient landslide identification methods are important for hazard assessment and post-disaster response to geological disasters. Deep learning (DL) methods based on remo…
View article: Efficient Geometric Correction Workflow for Airborne Hyperspectral Images through DEM-Driven Correction Techniques
Efficient Geometric Correction Workflow for Airborne Hyperspectral Images through DEM-Driven Correction Techniques Open
Geometric correction, a pivotal step in the preprocessing of airborne remote sensing imagery, is critical for ensuring the accuracy of subsequent quantitative analyses. Achieving precise and efficient geometric correction for airborne hype…
View article: Optimal and Multi-View Strategic Hybrid Deep Learning for Old Landslide Detection in the Loess Plateau, Northwest China
Optimal and Multi-View Strategic Hybrid Deep Learning for Old Landslide Detection in the Loess Plateau, Northwest China Open
Old landslides in the Loess Plateau, Northwest China usually occurred over a relatively long period, and their sizes are usually smaller compared to old landslides in the alpine valley areas of Sichuan, Yunnan, and Southeast Tibet. These l…
View article: Active Deformation Areas of Potential Landslide Mapping with a Generalized Convolutional Neural Network
Active Deformation Areas of Potential Landslide Mapping with a Generalized Convolutional Neural Network Open
Early discovery and monitoring of the active deformation areas of potential landslides are important for geohazard risk prevention. The objective of the study is to propose a one-step strategy for automatically mapping the active deformati…
View article: TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model
TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model Open
Landslides are one of the most destructive natural disasters in the world, posing a serious threat to human life and safety. The development of foundation models has provided a new research paradigm for large-scale landslide detection. The…
View article: Remote Sensing Extraction of Lakes on the Tibetan Plateau Based on the Google Earth Engine and Deep Learning
Remote Sensing Extraction of Lakes on the Tibetan Plateau Based on the Google Earth Engine and Deep Learning Open
Lakes are an important component of global water resources. In order to achieve accurate lake extractions on a large scale, this study takes the Tibetan Plateau as the study area and proposes an Automated Lake Extraction Workflow (ALEW) ba…
View article: An Improved Urban Area Extraction Method for PolSAR Data Using Eigenvalues and Optimal Roll-Invariant Features
An Improved Urban Area Extraction Method for PolSAR Data Using Eigenvalues and Optimal Roll-Invariant Features Open
Urban area extraction using polarimetric synthetic aperture radar (PolSAR) data is an important application for urban planning and disaster assessment. Due to the variability in urban structures, the problem of mistaking built-up areas for…
View article: Mapping and Analyses of Land Subsidence in Hengshui, China, Based on InSAR Observations
Mapping and Analyses of Land Subsidence in Hengshui, China, Based on InSAR Observations Open
In this paper, we use interferometric synthetic aperture radar (InSAR) annual and time-series analysis of RADARSAT-2 SAR data, spanning from September 2011 to October 2022, to study the temporal–spatial characteristics of land subsidence i…
View article: A Multi-Source Data Fusion-based Semantic Segmentation Model for Relic Landslide Detection
A Multi-Source Data Fusion-based Semantic Segmentation Model for Relic Landslide Detection Open
As a natural disaster, landslide often brings tremendous losses to human lives, so it urgently demands reliable detection of landslide risks. When detecting relic landslides that present important information for landslide risk warning, pr…
View article: Remote sensing for landslide investigations: A progress report from China
Remote sensing for landslide investigations: A progress report from China Open
China has a significant portion of land in landslide-prone areas, and remote sensing technologies are becoming a tool of choice to investigate and monitor landslides. Although much progress has been made with remote sensing technologies an…
View article: An Iterative Classification and Semantic Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images
An Iterative Classification and Semantic Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images Open
Huge challenges exist for old landslide detection because their morphology features have been partially or strongly transformed over a long time and have little difference from their surrounding. Besides, small-sample problem also restrict…
View article: Reliable assessment approach of landslide susceptibility in broad areas based on optimal slope units and negative samples involving priori knowledge
Reliable assessment approach of landslide susceptibility in broad areas based on optimal slope units and negative samples involving priori knowledge Open
Reliable assessment of landslide susceptibility in broad areas of terrain remains challenging due to complex topography and poor representation of randomly selected negative samples. Assessment in broad areas is now primarily based on grid…
View article: Landslide susceptibility mapping and dynamic response along the Sichuan-Tibet transportation corridor using deep learning algorithms
Landslide susceptibility mapping and dynamic response along the Sichuan-Tibet transportation corridor using deep learning algorithms Open
Landslides are one of the most serious natural hazards along the Sichuan-Tibet transportation corridor, which crosses the most complicated region in the world in terms of topography and geology. Landslide susceptibility mapping (LSM) is in…
View article: Detecting slow-moving landslides using InSAR phase-gradient stacking and deep-learning network
Detecting slow-moving landslides using InSAR phase-gradient stacking and deep-learning network Open
Landslides are a major geohazard that endangers human lives and properties. Recently, efforts have been made to use Synthetic Aperture Radar Interferometry (InSAR) for landslide monitoring. However, it is still difficult to effectively and…
View article: InSAR Study of Landslides: Early Detection, Three-Dimensional, and Long-Term Surface Displacement Estimation—A Case of Xiaojiang River Basin, China
InSAR Study of Landslides: Early Detection, Three-Dimensional, and Long-Term Surface Displacement Estimation—A Case of Xiaojiang River Basin, China Open
Landslides, a major natural geohazard, obstruct municipal constructions and may destroy villages and towns, at worst causing significant casualties and economic losses. Interferometric Synthetic Aperture Radar (InSAR) technique offers dist…
View article: DDU-Net: Dual-Decoder-U-Net for Road Extraction Using High-Resolution Remote Sensing Images
DDU-Net: Dual-Decoder-U-Net for Road Extraction Using High-Resolution Remote Sensing Images Open
Extracting roads from high-resolution remote sensing images (HRSIs) is vital in a wide variety of applications, such as autonomous driving, path planning, and road navigation. Due to the long and thin shape as well as the shades induced by…
View article: See-Earth: SAR Constellation with Dense Time-SEries for Multi-dimensional Environmental Monitoring of the Earth
See-Earth: SAR Constellation with Dense Time-SEries for Multi-dimensional Environmental Monitoring of the Earth Open
The limitations of satellite versatility, application dimensions, and wide-area observation efficiency are major issues impeding the development of Chinese spaceborne Synthetic Aperture Radar (SAR). China lacks a satellite system that can …
View article: Identifying Potential Landslides by Stacking-InSAR in Southwestern China and Its Performance Comparison with SBAS-InSAR
Identifying Potential Landslides by Stacking-InSAR in Southwestern China and Its Performance Comparison with SBAS-InSAR Open
Landslide disasters occur frequently in the mountainous areas in southwest China, which pose serious threats to the local residents. Interferometry Synthetic Aperture Radar (InSAR) provides us the ability to identify active slopes as poten…
View article: Two-dimensional phase unwrapping integrating deep learning and minimal cost flow
Two-dimensional phase unwrapping integrating deep learning and minimal cost flow Open
<p>InSAR can measure surface deformation in all-weather conditions and has been widely used to study landslides, land subsidence, and many geophysical processes. Since the phase of radar echo is measured in 2&#960; rad modulo (wr…
View article: Assessment of the temporal–spatial evolution of subsidence and its driving mechanism in the Beijing Plain (China) by using SAR interferometry and geological data
Assessment of the temporal–spatial evolution of subsidence and its driving mechanism in the Beijing Plain (China) by using SAR interferometry and geological data Open
Based on the four types of SAR images from Envisat, Radarsat-2, and TerraSAR-X between 2007 and 2019, a linear time-series analysis of Coherence Targets method is employed to acquire the 13-year deformation velocity and cumulative deformat…
View article: Land Subsidence and Uplift Surveying by Synthetic Aperture Radar Interferometry in Lianjiang Plain
Land Subsidence and Uplift Surveying by Synthetic Aperture Radar Interferometry in Lianjiang Plain Open
In order to investigate the distribution of land subsidence in the Lianjiang Plain, the interferometric point target analysis (IPTA) method has been carried out with RADARSAT-2 data in this work.It was found that large-scale land uplift oc…