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- research-articleNovember 2024
Shadow removal method for high-resolution aerial remote sensing images based on region group matching
Expert Systems with Applications: An International Journal (EXWA), Volume 255, Issue PChttps://doi.org/10.1016/j.eswa.2024.124739AbstractShadow removal is a critical step in preprocessing high-resolution aerial remote sensing images. The presence of shadows reduces the information in high-resolution aerial remote sensing images, lowers the image quality, and seriously interferes ...
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Highlights- Proposed an irregular region color transfer method based on a three-dimensional color space.
- Designed a feature extraction method insensitive to image rotation and independent of lighting conditions.
- Proposed a region matching ...
- research-articleJuly 2024
Large-scale point cloud semantic segmentation via local perception and global descriptor vector
Expert Systems with Applications: An International Journal (EXWA), Volume 246, Issue Chttps://doi.org/10.1016/j.eswa.2024.123269AbstractLarge-scale point cloud semantic segmentation is a critical aspect of environmental information perception, with far-reaching applications in domains such as auto-driving, remote sensing, and virtual reality systems. Contemporary methodologies ...
Highlights- LAFA module captures local context to address local perception ambiguity.
- Aggregation loss further mitigates the local perceptual ambiguity.
- C-VLAD module captures global context to address feature insufficient.
- Experiments ...
- research-articleJuly 2024
An interoperable software system to store, associate, visualize, and publish global open science data of earth surface system
Environmental Modelling & Software (ENMS), Volume 178, Issue Chttps://doi.org/10.1016/j.envsoft.2024.106070AbstractMulti-source heterogeneous, multi-modal, and multi-type open scientific data (e.g., thematic sharing sites, metadata, journal articles, etc.) on earth surface systems (EES) provide important data sources for knowledge mining, discovery, and ...
Highlights- Developed a novel tool for constructing a scientific data association network.
- Presented an interoperable software system.
- Proposed a ‘time-space-topic’ model for building associative networks.
- research-articleJuly 2024
Joint extraction of entity relations from geological reports based on a novel relation graph convolutional network
AbstractGeological reports house a wealth of geological domain knowledge and expert experience knowledge, and the efficient extraction of geological entity relations from these texts holds great significance in constructing a geological knowledge graph. ...
Highlights- In this paper, a geological entity relationship dataset is constructed.
- In this paper, we propose a convolutional pointer network model for relational maps based on the pre-trained RoBERTa model and validate the effectiveness of the ...
- research-articleFebruary 2024
Chinese engineering geological named entity recognition by fusing multi-features and data enhancement using deep learning
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PDhttps://doi.org/10.1016/j.eswa.2023.121925AbstractThe engineering geology report serves as a comprehensive portrayal of the geological conditions and information within a surveyed region, making it highly valuable for extracting and mining engineering geology-related knowledge. Geological Named ...
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- research-articleNovember 2022
Understanding geological reports based on knowledge graphs using a deep learning approach
AbstractGeological reports aid in understanding exploration by providing valuable information on rock formation ,evolution and the geological environment in which deposits formed. Querying and extracting the critical information from these enormous ...
Highlights- Proposed a joint extraction model of triples for geological texts.
- The extraction integrity of geological text triples was improved and the overlapping problems was solved.
- A geological report knowledge graph was construced to ...
- research-articleNovember 2021
Shape-aware Mesh Normal Filtering
AbstractMesh denoising is a fundamental yet open problem in geometry processing. The main challenge is to remove noise while recovering the shape of the underlying surface as accurately as possible. In this paper, we propose a novel joint ...
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Highlights- A simple yet effective consistency metric is designed to select candidate patches.
- research-articleJuly 2019
Geoscience keyphrase extraction algorithm using enhanced word embedding
Expert Systems with Applications: An International Journal (EXWA), Volume 125, Issue CPages 157–169https://doi.org/10.1016/j.eswa.2019.02.001Highlights- The enhanced Word2vec with ontology knowledge achieved an F1-score of 40.7%.
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A large amount of unstructured textual data about geoscience structures and minerals is buried in geoscience documents and is unused. Automatic keyphrase extraction provides opportunities to leverage this wealth of data for analysis ...
- research-articleMay 2019
A novel anisotropic second order regularization for mesh denoising
Computer Aided Geometric Design (CAGD), Volume 71, Issue CPages 190–201https://doi.org/10.1016/j.cagd.2019.04.013AbstractMesh denoising is a fundamental, yet not well-solved problem in geometry processing. The main challenge is to remove noise while preserving geometric features and preventing unnatural effects, such as blurring of sharp features and ...
- research-articleDecember 2018
Conditional convolution neural network enhanced random forest for facial expression recognition
Pattern Recognition (PATT), Volume 84, Issue CPages 251–261https://doi.org/10.1016/j.patcog.2018.07.016Highlights- A conditional convolution neural network enhanced random forests for facial expression recognition.
- The method achieves fast and accurate results with a limited amount of training data.
- A robust deep salient feature representation ...
In real-world applications, factors such as head pose variation, occlusion, and poor image quality make facial expression recognition (FER) an open challenge. In this paper, a novel conditional convolutional neural network enhanced random forest (...
- articleDecember 2017
Detection of attitude constant error and in-orbit calibration for the three-line CCD sensor of the ZY-3 satellite
In-orbit calibration of satellite optical sensors is of crucial importance for improving the accuracy and stability of high-resolution satellite stereo mapping and positioning. For the in-orbit calibration of Ziyuan 3 ZY-3, the first Chinese three-line ...
- research-articleNovember 2017
Multi-level structured hybrid forest for joint head detection and pose estimation
Neurocomputing (NEUROC), Volume 266, Issue CPages 206–215https://doi.org/10.1016/j.neucom.2017.05.033In real-world applications, factors such as illumination variation, occlusion, and poor image quality, etc. make head detection and pose estimation much more challenging. In this paper, we propose a multi-level structured hybrid forest (MSHF) for joint ...
- articleOctober 2017
Quality assessment of building footprint data using a deep autoencoder network
International Journal of Geographical Information Science (IJGIS), Volume 31, Issue 10Pages 1929–1951https://doi.org/10.1080/13658816.2017.1341632Volunteered geographic information VGI, OpenStreetMap OSM, has been used in many applications, especially when official spatial data are unavailable or outdated. However, the quality of VGI remains a valid concern. In this paper, we use the matched ...
- articleFebruary 2017
Shape similarity measurement model for holed polygons based on position graphs and Fourier descriptors
In geographic information retrieval and spatial data mining, similarity is used to resolve shape matching and clustering. Many approaches have been developed to calculate similarity between simple geometric shapes. However, complex spatial objects are ...
- articleAugust 2015
A spatially adaptive decomposition approach for parallel vector data visualization of polylines and polygons
International Journal of Geographical Information Science (IJGIS), Volume 29, Issue 8Pages 1419–1440https://doi.org/10.1080/13658816.2015.1032294With the wide adoption of big spatial data and the emergence of CyberGIS, the nontrivial computational intensity introduced by massive amount of data poses great challenges to the performance of vector map visualization. The parallel computing ...
- articleJune 2015
A balanced decomposition approach to real-time visualization of large vector maps in CyberGIS
Frontiers of Computer Science: Selected Publications from Chinese Universities (FCS), Volume 9, Issue 3Pages 442–455https://doi.org/10.1007/s11704-014-3498-7With the dramatic development of spatial data infrastructure, CyberGIS has become significant for geospatial data sharing. Due to the large number of concurrent users and large volume of vector data, CyberGIS faces a great challenge in how to improve ...
- ArticleOctober 2012
WebGIS Model Based on Response Ratio Priority Schedule Algorithm
ISCID '12: Proceedings of the 2012 Fifth International Symposium on Computational Intelligence and Design - Volume 01Pages 184–187https://doi.org/10.1109/ISCID.2012.54The defects of traditional WebGIS model and problems of current common load balancing algorithms are analyzed. a new WebGIS model based on response ratio priority scheduling algorithm is proposed. Based on the waiting time and executing time, the model ...
- articleJanuary 2012
Highly ordered TiO2 macropore arrays as transparent photocatalysts
Journal of Nanomaterials (NANO), Volume 2012Article No.: 3, Page 3https://doi.org/10.1155/2012/762510Highly ordered transparent TiO2 macropore arrays were synthesized via a simple glass-clamping method at room temperature. The as-synthesized TiO2 macropore arrays show high transmittance in the visible light region and can be used as transparent ...
- ArticleAugust 2009
An Algorithm for Splitting Arbitrary Polygon
ICNC '09: Proceedings of the 2009 Fifth International Conference on Natural Computation - Volume 06Pages 318–325https://doi.org/10.1109/ICNC.2009.201An algorithm for splitting arbitrary polygons with a polyline is described in this paper. Starting from introducing the existing theories in computational geometry and computer graphics, the paper describes the three major steps of this algorithm: 1) ...
- ArticleMay 2009
Research of Value-Added Service Operation of Third Generation
IFITA '09: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01Pages 570–573https://doi.org/10.1109/IFITA.2009.320It marks that China steps into the 3G era formally by the third telecommunication reorganization. The operator will transfer from "speech emphasis communication operation" into “value-added service primarily of information operation, "income mostly ...