A5101455653- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Remote Sensing and Land Use
- Radio Frequency Integrated Circuit Design
- Urban Heat Island Mitigation
- Remote Sensing in Agriculture
- Infrared Target Detection Methodologies
- Image Enhancement Techniques
- Planetary Science and Exploration
- Land Use and Ecosystem Services
- Image and Signal Denoising Methods
- Microwave Engineering and Waveguides
- Soil and Land Suitability Analysis
- Bone Tissue Engineering Materials
- Advanced Image Processing Techniques
- Urban Green Space and Health
- Rangeland Management and Livestock Ecology
- Robotics and Sensor-Based Localization
- Pesticide and Herbicide Environmental Studies
- Photonic and Optical Devices
- Plant and animal studies
- Biopolymer Synthesis and Applications
- Pesticide Residue Analysis and Safety
- Advanced Neural Network Applications
- Pharmaceutical and Antibiotic Environmental Impacts
Hubei University of Technology
2022-2024
Hebei Agricultural University
2024
The First People’s Hospital of Lianyungang
2024
Lianyungang Oriental Hospital
2024
Xuzhou Medical College
2024
Southeast University
2024
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2018-2022
Wuhan University
2018-2022
Nanjing University of Information Science and Technology
2021
Beijing Aerospace Flight Control Center
2019-2020
Hyperspectral (HS) images usually have high spectral resolution and low spatial (LSR). However, multispectral (MS) (HSR) resolution. HS–MS image fusion technology can combine both advantages, which is beneficial for accurate feature classification. Nevertheless, heterogeneous sensors always temporal differences between LSR-HS HSR-MS in the real cases, means that classical methods cannot get effective results. For this problem, we present a method via unmixing mask. Considering difference two...
Nowadays, embedding-based pan-sharpening networks aimed at fusing panchromatic (PAN) and multispectral (MS) images are abundant, yet their results still show spectral distortion spatial fuzziness. In this paper, we design a multi-scale fusion structure to minimize the gap between pan-sharpened image reference progressively. Specifically, proposed method based on scale difference PAN MS images, using convolutional neural network embedding pixel enhanced module (PDEM) obtain minimizing losses...
The outbreak of large-scale desert locust plague in 2020 has attracted wide attention the world and caused serious damage to food security livelihood African Asian people. Remote sensing techniques can provide indirect feedback on plagues, facilitating quick, real-time monitoring occurrence development locusts, which is great significance for ensuring national regional stability. hidden Markov model (HMM) a classic machine learning that been widely applied fields time-series data mining. In...
Mapping impervious surface area (ISA) in an accurate and timely manner is essential for a variety of fields applications, such as urban heat islands, hydrology, waterlogging, planning management. However, the large complex landscapes pose great challenges retrieving ISA information. Spaceborne hyperspectral (HS) remote sensing imagery provides rich spectral information with short revisit cycles, making it ideal data source extraction from scenes. Nevertheless, insufficient single-band...
Precise identification of binary building changes through remote sensing observations plays a crucial role in sustainable urban development. However, many supervised change detection (CD) methods overly rely on labeled samples, thus limiting their generalizability. In addition, existing semi-supervised CD suffer from instability, complexity, and limited applicability. To overcome these challenges fully utilize unlabeled we proposed consistency-guided lightweight method (Semi-LCD). We...
In the field of remote sensing, image fusion technology plays a crucial role in observing state global resources and environmental conditions, proposing response strategies, constantly monitoring correcting strategies. Currently, majority traditional methods exhibit varying degrees spatial or spectral distortion, these unreasonable distributions may contain erroneous geographical feature information. Meanwhile, despite their performance results, deep learning-based cannot be applied to some...
The process of bone regeneration is intricately regulated by various cytokines at distinct stages. establishment early and efficient vascularization, along with the maintenance a sustained osteoinductive microenvironment, plays crucial role in successful utilization repair materials. This study aimed to develop composite hydrogel that would facilitate creation an osteogenic microenvironment for repair. was achieved incorporating rapid release VEGF slow BMP-2. Herein, Schiff base formed...
According to statistics, more than 50% optical satellite images are covered by cloud or fog. Moreover, the cloud-cover rate is much higher in large bodies of water and nearby areas inland due high amount evaporation condensation. Therefore, ship detection from remote sensing based on surface analysis susceptible fog interference, which affects accuracy. In time-sensitive application field images, massive parameters large-scale network model, speed slow, a lightweight model commonly used....
Abstract. On January 3, 2019, the Chang'e-4 (CE-4) probe successfully landed in Von Kármán crater inside South Pole-Aitken (SPA) basin. With support of a relay communication satellite "Queqiao" launched 2018 and located at Earth-Moon L2 liberation point, lander Yutu-2 rover carried out in-situ exploration patrol surveys, respectively, were able to make series important scientific discoveries. Owing complexity unpredictability lunar surface, teleoperation has become most control method for...
The fast data acquisition rate due to the shorter revisit periods and wider observation coverage of satellites results in large amounts remote sensing images every day. This brings challenge how accurately search with similar visual content as query image. Content-based image retrieval (CBIR) is a solution this challenge, its performance heavily depends on effectiveness representation features similarity evaluation metrics. Ideal feature representations have dispersed interclass, compact...
The spectral unmixing technique is an effective method of solving the mixed pixel problem in hyperspectral remote sensed imagery. During process, endmember extraction algorithm (EEA) significant for creation material abundance maps. However, traditional EEAs are not very reliable due to low resolution sensor and complex diversity land cover feature distribution. In addition, mutually independent assumption corresponding will be affected accordingly. order overcome above limitations, a novel...
A force-sensing system for a colonoscopy robot is proposed. It undertakes modular design, composed of strain gauges. This paper first makes modeling and simulation analysis surface deformation the robot. And then, based on results analysis, structural design sensor improved. Finally, after designing pressure sensing signaling circuit, an experiment done identifying parameter described. The acceptable performances force are verified through experiments.
Ratio transformation methods are widely used for image fusion of high-resolution optical satellites. The premise the use ratio is that there a zero-bias linear relationship between panchromatic band and corresponding multi-spectral bands. However, bias terms residual with large values in reality, depending on sensors, response spectral ranges, land-cover types. To address this problem, paper proposes method based decomposition (PSD). low-resolution images to solve proportionality...
This letter presents a hybrid series-shunt LC tank matching technique, which constructs an imaginary-impedance part for impendence (power) and cancels the deviations caused by aggravated load parasitic effects in millimeter-wave (mm-wave) high-frequency band, allowing broadband simultaneous noise impedance (BSNIM) mm-wave CMOS low-noise amplifier (LNA). The proposed network has been synthesized into triple-coupled transformer-based further to enable compact robust solution differential...
The increased use of chlorantraniliprole and fludioxonil has sparked concerns about their residues impact on the soil microbiome, highlighting an urgent issue requiring attention. This study investigates residue dynamics corn after treatments, as well effects enzyme activity microbial community structure. High-performance liquid chromatography–tandem mass spectrometry (HPLC-MS/MS) analysis showed a significant decrease in combined application, especially with chlorantraniliprole. application...
Abstract. As China’s first unmanned spacecraft to collect lunar surface samples and return them Earth, the Chang’E-5 detector is a crucial probe that will complete sampling in exploration project. This be successful mission China. Sampling decisions needs made based on topographical analysis results characteristics of area explored. Due unknown extraterrestrial terrain uncertainty sampled objects, we propose feasibility estimation for safely implementing sampling.Our strategy took into...
Stripes are common in remote sensing imaging systems equipped with multichannel time delay integration charge-coupled devices (TDI CCDs) and have different scale characteristics depending on their causes. Large-scale stripes appearing between channels difficult to process by most current methods. The framework of column-by-column nonuniformity correction (CCNUC) is introduced eliminate large-scale stripes. However, the worst problem CCNUC unavoidable cumulative error, which will cause an...
Mixed pixels are common in hyperspectral imagery (<small>HSI</small>). Due to the complexity of ground object distribution, some end-member extraction methods cannot obtain good results and processes complex. Therefore, this paper proposes an optimization method for <small>HSI</small> endmember extraction, which improves accuracy based on K-singular value decomposition (<small>K-SVD</small>). The proposed comprises three core steps. (1) Based contribution...
Urbanization process has a huge impact on vegetation dynamics in urban ecosystems. Ecosystem services provided by green space have been increasingly incorporated into city-level measures to address climate change. Understanding the relationship between (UGS) and impervious surface (UIS) as well land temperature (LST ) is crucial understanding of spatial morphology. To better understand different configurations heat island effect at scales, this study constructed configuration UIS UGS four...
Abstract. Urban planning and constructions affect spatial patterns of urban impervious surfaces, which in turn modify the environment human-environment interactions. Impervious surfaces can redistribute precipitation patterns, perviousness–imperviousness ratio is considered as one important indicator for assessing degree urbanization quality eco-environment. The distribution dynamics contribute to better understand its impacts on regional or hydrological environment, surface temperature...