A5007426800- Geological Modeling and Analysis
- Geomechanics and Mining Engineering
- Geoscience and Mining Technology
- Simulation and Modeling Applications
- Advanced Computational Techniques and Applications
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Advanced Image Fusion Techniques
- Advanced Decision-Making Techniques
- Image Enhancement Techniques
- Infrared Target Detection Methodologies
- Geochemistry and Geologic Mapping
- Calibration and Measurement Techniques
- Mining Techniques and Economics
- Advanced Sensor and Control Systems
- Computer Graphics and Visualization Techniques
- Web Applications and Data Management
- Silkworms and Sericulture Research
- Embedded Systems and FPGA Design
- Recycling and Waste Management Techniques
- Civil and Geotechnical Engineering Research
- Sustainable Supply Chain Management
- Reservoir Engineering and Simulation Methods
- Thermography and Photoacoustic Techniques
- Remote-Sensing Image Classification
Changchun Institute of Optics, Fine Mechanics and Physics
2022-2024
Chinese Academy of Sciences
2022-2024
University of Chinese Academy of Sciences
2022-2024
Sardar Vallabhbhai National Institute of Technology Surat
2020
China University of Petroleum, East China
2019
Central South University
2008-2014
Hunan Nonferrous Metal Research Institute
2012-2013
Fiberhome Technology Group (China)
2008
Hohai University
2006
New Jersey Institute of Technology
2002
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses participating methods and final results. The addresses setting, where paired true high low-resolution images are unavailable. For training, only one set of source input is therefore provided along with a unpaired high-quality target images. In Track 1: Image Processing artifacts, aim to super-resolve synthetically generated image processing artifacts. allows for quantitative benchmarking approaches w.r.t....
Detecting faint and diminutive infrared targets devoid of clearly defined shape texture details in intricate surroundings remains a formidable challenge within the domain target detection. Current methodologies employing deep neural networks pooling operations can easily cause small loss, resulting suboptimal detection outcomes. To address these issues, we design an innovative dynamic context-aware pyramid network. It comprises three core modules: context modulation (DCM), (DPC), shuffle...
The remote sensing imaging environment is complex, in which many factors cause image blur. Thus, without prior knowledge, the restoration model established to obtain clear images can only rely on observed blurry images. We still build with extreme pixels but no longer traverse all pixels, such as channels. features are extracted units of patches, segmented from an and partially overlap each other. In this paper, we design a new prior, i.e., overlapped patches’ non-linear (OPNL) derived ratio...
In order to obtain high-quality images, the application of low-illumination image enhancement techniques plays a vital role in enhancing overall visual appeal. However, it is particularly difficult enhance an while maintaining original information scene. The augmentation method based on Retinex theory widely considered as one representative for such problems, but this still has some limitations. First all, noise easily ignored process model building, and robustness needs be improved....
Abstract Mastering the shape, size and variation of goaf is important to disposal, disaster control mining optimization. A method presented realize precision monitoring 3D visualization by cavity system (CMS). On this basis, Goaf modeling, goaf-model transmission display based on network, visible calculation loss ore dilution during actual mining, blasting design complicated boundary pillar dynamic goaf, stability analysis tunnel above survey destruction caused collapse, numerical simulation...
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses participating methods and final results. The addresses setting, where paired true high low-resolution images are unavailable. For training, only one set of source input is therefore provided along with a unpaired high-quality target images. In Track 1: Image Processing artifacts, aim to super-resolve synthetically generated image processing artifacts. allows for quantitative benchmarking approaches \wrt...
The camera response function (CRF) establishes a numerical mapping between focal plane radiance, imaging parameters, and the intensity of output images. It plays significant role in areas such as high dynamic range image processing. To establish an accurate model for time delay integration (TDI) complementary metal-oxide-semiconductor (CMOS) systems, this paper proposes radiometric calibration method TDI CMOS systems based on complex real-world scene study begins by conducting extensive...
This paper presents a fuzzy logic-based lifecycle assessment (LCA) model. model considers criteria of environmental, recycling, together with cost, quality, reliability and performance variables, covers product from design, material procurement, manufacturing, usage to disposal. Traditional LCA suffers problems imprecision/incomplete input data difficult interpretation output data. The proposed can resolve these by employing such that both accurate imprecise be easily handled the results are...
Summary 3D gravity inversion plays an important l role in the quantitative interpretation of practical data. One key issues with data is multiplicity. Combining multiple geophysical advantageous means reducing However, establishing a petrophysical relationship between different physical major difficulty. We propose process for modeling using machine learning and geostatistics.Based on Fuzzy c-means (FCM) adaptive cross- variogram function fitting(which make it possible to introduce...
When a remote sensing camera work in push-broom mode, the obtained image usually contains significant stripe noise and random due to differences detector response environmental factors. Traditional approaches typically treat them as two independent problems process sequentially, which not only increases risk of information loss structural damage, but also faces situation mutual influence. To overcome drawbacks traditional methods, this paper leverages double low-rank characteristics...
Abstract For the need of digital basin 3D simulation, paper proposes a visualization optimization method for large-scale landform and flow pattern. Based on call data partitioning organization dynamic processing visual regional data, present situation commonly using ADO(ActiveX Data Objects) developing interface to realize operation database, OCI (Oracle Call Interface) programming is adopted in order improve exchange efficiency with which can database space loading quick plotting model...
In the field of engineering geological logging, image-based logging achieves tunnel, slope, excavation and other surfaces’ digital informatization, but exiting methods cannot apply to small size tunnel because its special characteristics. order actualize in this paper introduces novel based on parallel image sequence including acquisition, orientation control, geometric correction, unfolded map generation attitude measurement, finally generating display logging. The simulating experiment...