A5101548572- Remote Sensing and Land Use
- Inertial Sensor and Navigation
- Earthquake Detection and Analysis
- Water Quality Monitoring and Analysis
- Cryospheric studies and observations
- Remote-Sensing Image Classification
- Marine and coastal ecosystems
- Land Use and Ecosystem Services
- Geomagnetism and Paleomagnetism Studies
- earthquake and tectonic studies
- Geophysics and Gravity Measurements
- Coastal wetland ecosystem dynamics
- Target Tracking and Data Fusion in Sensor Networks
- Climate change and permafrost
- Millimeter-Wave Propagation and Modeling
- Advanced Image Fusion Techniques
- Soil erosion and sediment transport
- Geophysical and Geoelectrical Methods
- Geological and Geophysical Studies
- Environmental Changes in China
- Water Quality Monitoring Technologies
- Image and Signal Denoising Methods
- Remote Sensing in Agriculture
- Magnetic Field Sensors Techniques
- Aquatic Ecosystems and Phytoplankton Dynamics
Central South University
2025
Central South University of Forestry and Technology
2025
China University of Mining and Technology
2023-2024
Wuhan University
2024
Chinese Academy of Sciences
2009-2023
Beijing Jiaotong University
2023
Aerospace Information Research Institute
2023
Jilin University
2023
Tsinghua University
2023
Institute of Remote Sensing and Digital Earth
2013-2019
The serious problem of soil erosion not only has a profound impact on people’s lives but also results in series ecological and environmental challenges. To determine the changes land use type urban agglomeration northern slopes Tianshan Mountains, this study commences by employing InVEST-SDR (integrated valuation ecosystem services tradeoffs–sediment delivery ratio) model to calculate levels spanning from 2000 2020. Subsequently, it forecasts cover (LULC) conditions for year 2030 under three...
Aiming to provide a scientific basis for the prevention and control of soil erosion in Huaihe region, this study uses InVEST-SDR model estimate temporal spatial changes conservation region 2010, 2015 2020, driving factors are evaluated quantified using Random Forest Geodetector, respectively. The major findings as follows: (1) From 2010 loss retention gradually intensified, while distribution trend was consistent from year year. (2) results Geodetector show that mainly influenced by slope...
The recent advancement of Multimodal Large Language Models (MLLMs) has significantly improved their fine-grained perception single images and general comprehension across multiple images. However, existing MLLMs still face challenges in achieving precise grounding complex multi-image scenarios. To address this, we first explore a Chain-of-Thought (CoT) framework that integrates single-image with comprehension. While partially effective, it remains unstable struggles to capture abstract...
Analyzing and optimizing the spatio-temporal characteristics of terrestrial ecosystem carbon storage, as well examining their coupling coordination relationships with industrial mining land landscape pattern, can become a reference in pursuit peaking neutrality for cities. This research takes typical city Ordos study target. Based on LULC, Multi-objective Planning (MOP) Patch-generating Land Use Simulation (PLUS) model are used to predict LULC under natural development (Q1), ecological...
This paper applies SAR Interferometry for ground deformation in two cases: the 1998 Zhangbei-Shangyi Earthquake Northern China and urban subsidence Suzhou City from 1993 to 2000. It is concluded that interferometry may provide valuable information understanding spatial patterns progress of natural hazards. also critical mechanism studies hazard mitigation.
Magnetic interference generated by the air-borne platform is one of most common system noises in aero-magnetic survey. The noise can be divided into 3 parts as permanent, induced and eddy-current fields. A new called Unmanned Aerial Vehicle (UAV) designed manufactured with low magnetic interference. Analyzing test measured data has shown that UAV, compare traditional platform, lower especially Thus, terms may ignored compensation model. simulation result shows model reduced multi-colinearity...
The riparian zone is a unique landscape component that represents an ecological transition between aquatic and terrestrial ecosystems. restoration of zones has become focus in the realms both urban development planning watershed management. This paper applies concept landsenses ecology, principles range eco-revetment models for Xianghe Segment China's Grand Canal (XSCGC). Based on field trip investigation, considerations involve current status quo segment's zone. In addition to analysis key...
A new airborne platform named the unmanned aerial vehicle (UAV) is used to detect geomagnetic anomaly with low magnetic interference. Nevertheless, there are steering errors of three-axis fluxgate magnetometers (TFMs) changes UAV flight course. The main reasons due effects nonorthogonality, scale factors, and zero shifts. Therefore, it quite necessary establish calibration methods get information high precision. least squares (LS) backpropagation artificial neural network (BPANN) proposed...
With the rapid growth of mobile data traffic, shortage radio spectrum resource has become increasingly prominent. Millimeter wave (mmWave) small cells can be densely deployed in macro to improve network capacity and utilization. Such a architecture is referred as mmWave heterogeneous cellular networks (HetNets). Compared with traditional wired backhaul, The integrated access backhaul (IAB) wireless more flexible cost-effective for HetNets. However, imbalance throughput between links will...
摘要： 在长期进化过程中，自然界中的多种动物、植物形成了独特的轻质、高强结构，以此来抵抗外界的复杂冲击载荷，保护自身完整，满足生存需要。生物轻质高强结构的优越性，启发了科研和工程人员采用结构仿生学的方法来对管状和板状两大类吸能结构进行设计优化和改进。对竹子、茎秆/树干、羽轴、骨骼四类管状生物结构和甲虫鞘翅、贝壳、柚子皮、龟壳四类板状生物结构进行综述，阐述了分层、多孔、螺旋、中空等多种结构与轻质高强特性之间的关系。在此基础上，对比和分析了相应的结构元素在单胞管、多胞管、嵌套管、波纹管等管状吸能结构和蜂窝夹芯板、复合材料板、混合结构板等板状吸能机构中起到的作用。进一步对当前仿生吸能领域存在的结构复杂、质量大、缺乏普适性的机理和过渡“桥梁”等问题做出了分析；最后对仿生吸能技术的形式简单化、结构轻量化、理论通用化、“形神兼备”化发展趋势做出展望。
The problem of Case II water pollution has been paid more and attention these years. Although traditional means could provide accurate measured values, they are greatly limited by its temporal spatial defects. Therefore, remote sensing technology is introduced in it become a hot spot the study environment monitoring. In this study, Guanting Reservoir, which lies between Zhangjiakou (HeBeijing) Beijing, selected to be research object. With data obtained situ laboratory, quality retrial model...
In this study, we investigate some issues of pollutants, such as Nitrogen and Phosphorus which cause the Cyan bacterial blooms, transport in Tai Lake with Lattice Boltzmann Method. LBM represent a significant advance our ability to simulate details flow complex pore spaces natural engineered channels porous media. It is found that pollutants can't far away Meiliang bay under pure solute diffused situation. Maybe blooms depend upon organic condition.
In this paper, we provide an approach to aeromagnetic compensation by using three‐components of the magnetic data. By decomposing permanent, induced and eddy current fields in traditional model, correlation coefficients can be reduced. A computer simulation is made test modified model its accuracy. Based on results, maneuvers data will obtained UAV aero‐magnetic system evaluate verify new model.
In the realm of gross domestic product(GDP) research, multiple regression model has garnered significant academic attention due to its ability comprehensively consider various factors and exceptional predictive performance. This study explores multidimensional GDP-related data introdu
In the current era of artificial intelligence, federated learning has emerged as a novel approach to addressing data privacy concerns inherent in centralized paradigms. This decentralized model not only mitigates risk breaches but also enhances system's scalability and robustness. However, this introduces new challenge: how fairly accurately assess contribution each participant. Developing an effective evaluation mechanism is crucial for learning. Such incentivizes participants actively...