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Intelligent classification of land cover types in open-pit mine area using object-oriented method and multitask learning

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JOURNAL OF APPLIED REMOTE SENSING 2022年第3期16卷

作者： Shi, Jieqing Li, Dengao Chu, Xiaohui Yang, Jing Shen, Chaoyong Taiyuan Univ Technol Coll Min Engn Taiyuan Peoples R China Taiyuan Univ Technol Coll Data Sci Taiyuan Peoples R China Third Surveying & Mapping Inst Guizhou Prov Guiyang Peoples R China

Although the exploitation of mineral areas brings wealth to society, it inevitably leads to the degradation of the surrounding natural environment. To understand and assess the influences of mining activities on the geological and ecological environment, land cover classification in open-pit mine areas (LCCMA) is of great significance. This research proposes an intelligent classification framework for LCCMA based on an object-oriented method and multitask learning (MTL), named the MTL Classification Framework (MTLCF). With the help of MTL, each land cover type in open-pit mine areas obtains its exclusive and receivable object-oriented feature sets using the model-agnostic method. After that, the feature sets are fused with the original images. EfficientNet, a spatial pyramid pooling module, and a global attention upsample module are assembled as the segmentation models with the structure of the encoder and decoder to classify intelligently each land cover type in open-pit mine areas. Finally, the models were trained, and ablation experiments were performed. The experimental results show that our proposed framework -MTLCF was effective for classification in LCCMA, and the overall accuracy and the mean of F1 score for the MTLCF in LCCMA were 85.6% and 86.06%, respectively. (C) 2022 Society of Photo-Optical Instrumentation Engineers (SPIE)

关键词： land cover classification open-pit mining areas object-oriented method multitask learning

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Optimal Permutation for Nodes of Bridge Structure by Using object oriented method 8th

Optimal Permutation for Nodes of Bridge Structure by Using O...

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8th International Conference on Civil Architecture and Structural Engineering (ICCASE)

作者： Yang, Yongyi Zhang, Zizhen XIHUA Univ Chengdu 610031 Sichuan Peoples R China Kunming Atide Software Co Ltd Kunming 650106 Yunnan Peoples R China

ISBN: (纸本)9783031761010;9783031761027

Enhancing the speed of finite element analysis in bridge structures not only improves the efficiency and quality of engineering design, but also plays a crucial role in bridge safety assessment, emergency management, and cost control. It is a key direction in the development of modern bridge engineering technology. The total stiffness half bandwidth of a bridge structure is a critical factor that affects the analysis speed, as its size directly influences the computational resources and time required to solve structural equations. This paper analyzes the characteristics of node arrangement when the total stiffness half bandwidth is minimized, and summarizes three principles. The AD algorithm is applied for node optimization ordering, and the algorithm is further optimized in light of the specific characteristics of bridge structures. An object-oriented bandwidth optimization program was developed using VC++. The correctness and reliability of the program were verified through comparative case studies, demonstrating that the method can optimize the half bandwidth value significantly, thereby reducing the computer memory usage and enhancing the computational analysis efficiency.

关键词： bridge structure optimization object-oriented method semi band width FEM

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Cyber-attack research for integrated energy systems by the correlated matrix based object-oriented modeling method

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FRONTIERS IN ENERGY RESEARCH 2022年 10卷

作者： Tong, Heqin Xu, Jianbing Li, Xiao Zhang, Liquan State Grid Elect Power Res Inst Nanjing Peoples R China NARI Grp Corp Nanjing Peoples R China NARI Technol Co Ltd Nanjing Peoples R China

The rise of an integrated energy system requires the integration of multiple sources of energy to be embraced and transited over the power grid;that means the information and communication systems of traditional power systems will be extended, and their complexity will be increased. As the information and communication systems play a more important role in the infrastructure of the power system, a cyber-attack on them may have an impact on the power system and cause a serious threat to the integrated energy system. To analyze the threat to the complex and integrated system, some researchers provide some modeling methods to study the impact of cyber-attacks on the information and communication systems, such as the Attack Tree Model, Attack Graph Model, Petri Net Model for cyber-attack, Attack Description Language Model, State Transition Graph Model, etc. However, these modeling methods have some shortcomings. For example, they cannot describe the systematical cyber-attack and show the secure status during the cyber-attack;it is hard for them to analyze the larger and more complicated information and communication systems. To overcome the shortages, in this paper, a correlated matrix-based object-oriented model is proposed for cyber-attack modeling. With this model, the relationship between the attacker and victim can be directly built;the cyber-attack path and packets from the attacker can be tracked;and the status of the nodes and links can be shown during a cyber-attack. There are two steps to build the cyber-attack model. Firstly, the procedure and approach of the cyber-attack will be modeled by an object-oriented method;then, a correlated matrix model will be built for network topology, attack path, and attack procedure. By combining these two models, the whole cyber-attack model is created. Finally, to demonstrate the modeling method and its benefits, we use the MITM (Man-in-the-middle Attack) attack on measurement data of an AVC (Automation Voltage Control) sys

关键词： integrated energy system object-oriented method correlation matrix cyber-attack automation voltage control system

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object-oriented method for Rural Residential Land Extraction in the Hilly Areas of Southern China Using RapidEye Data

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Journal of Resources and Ecology 2016年第4期7卷 291-300页

作者：高孟绪王卷乐柏中强中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室北京100101 中国科学院大学北京100049 江苏省地理信息资源开发与利用协同创新中心南京210023

The process of rapid urbanization in China features two opposing trends： declining rural population and increasing rural residential land, especially in southern hilly areas. The extraction and analysis of residential land in rural China represents an important application for remote sensing technology. The study aimed to discover rural residential land information using RapidEye satellite imagery, taking Taihe County as the research area in the hilly region of southern China. Based on multiple experiments, classification was conducted with an optimal image segmentation scale set to 200. The object-oriented classification rule set was constructed using the customized parameters NDVI, NDWI, brightness, and length/width. The areas of residential land and other land use types were interpreted by varying the parameter values for classification rule sets. Finally, validation and accuracy evaluations were carried out. The overall accuracy of residential land interpretation is 78.40%, and producer＇s accuracy and user＇s accuracy are 68.75% and 77.33%, respectively. The results indicate that RapidEye provides a suitable data source for extraction of rural residential land using an object-oriented approach. Compared with the second national land survey of China, the classification gave an absolute difference of 93.67 ha residential land within the study area. Recognition errors occurred mainly in regions adjacent to the boundaries between residential land and other types of land.

关键词： rural residential land information extraction RapidEye satellite object-oriented method

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Research on Networked Video Courseware System Based on object-oriented method 6

Research on Networked Video Courseware System Based on Objec...

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6th IEEE International Conference on Software Engineering and Service Science (ICSESS)

作者： Zhu, Yuanfang Song, Ye Li, Xiaoping Liu, Qiongxin Li, Hui Beijing Inst Technol Sch Comp Sci & Technol Beijing 100081 Peoples R China

ISBN: (纸本)9781479983537

Networked video courseware(NVC) provides a new research perspective for resource development in education technology field by combining education technology and film arts knowledge. Teachers often have difficulty in fulfilling complex courseware designs due to the lack of sufficient film arts knowledge. This paper presents a systematic object-oriented knowledge modeling which is developed and described in Unified Modeling Language (UML) for NVC design by summarizing and analyzing the expertise, cognitive rules and practices of various video elements applied in teaching. In the NVC system model, associations between entities and the NVC template structure is discussed in detail. A case study is given to demonstrate the procedure of how the NVC knowledge is expressed.

关键词： networked video courseware object-oriented method knowledge representation

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Research on Networked Video Courseware System Based on object-oriented method

Research on Networked Video Courseware System Based on Objec...

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2015 6th IEEE International Conference on Software Engineering and Service Science(ICSESS 2015)

作者： Yuanfang Zhu Ye Song Xiaoping Li Qiongxin Liu Hui Li School of Computer Science ＆ Technology Beijing Institute of Technology

Networked video courseware（NVC） provides a new research perspective for resource development in education technology field by combining education technology and film arts knowledge. Teachers often have difficulty in fulfilling complex courseware designs due to the lack of sufficient film arts knowledge. This paper presents a systematic object-oriented knowledge modeling which is developed and described in Unified Modeling Language（UML） for NVC design by summarizing and analyzing the expertise, cognitive rules and practices of various video elements applied in teaching. In the NVC system model,associations between entities and the NVC template structure is discussed in detail. A case study is given to demonstrate the procedure of how the NVC knowledge is expressed.

关键词： networked video courseware object-oriented method knowledge representation

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object-oriented Change Detection method Based on Spectral-Spatial-Saliency Change Information and Fuzzy Integral Decision Fusion for HR Remote Sensing Images

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REMOTE SENSING 2022年第14期14卷 3297-3297页

作者： Ge, Chuting Ding, Haiyong Molina, Inigo He, Yongjian Peng, Daifeng Nanjing Univ Informat Sci & Technol Sch Remote Sensing & Geomat Engn Nanjing 210044 Peoples R China Univ Politecn Madrid ETSI Topog Geodesia & Cartog Campus Sur UPMC Mercator 2 Madrid 28031 Spain Nanjing Univ Informat Sci & Technol Sch Geog Sci Nanjing 210044 Peoples R China

Spectral features in remote sensing images are extensively utilized to detect land cover changes. However, detection noise appearing in the changing maps due to the abundant spatial details in the high-resolution images makes it difficult to acquire an accurate interpretation result. In this paper, an object-oriented change detection approach is proposed which integrates spectral-spatial-saliency change information and fuzzy integral decision fusion for high-resolution remote sensing images with the purpose of eliminating the impact of detection noise. First, to reduce the influence of feature uncertainty, spectral feature change is generated by three independent methods, and spatial change information is obtained by spatial feature set construction and the optimal feature selection strategy. Secondly, the saliency change map of bi-temporal images is obtained with the co-saliency detection method to complement the insufficiency of image features. Then, the image objects are acquired by multi-scale segmentation based on the staking images. Finally, different pixel-level image change information and the segmentation result are fused using the fuzzy integral decision theory to determine the object change probability. Three high-resolution remote sensing image datasets and three comparative experiments were carried out to evaluate the performance of the proposed algorithm. Spectral-spatial-saliency change information was found to play a major role in the change detection of high-resolution remote sensing images, and the fuzzy integral decision strategy was found to effectively obtain reliable changed objects to improve the accuracy and robustness of change detection.

关键词： change detection fuzzy integral decision fusion co-saliency detection spectral-spatial features object-oriented method

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Generation of Homogeneous Slope Units Using a Novel object-oriented Multi-Resolution Segmentation method

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WATER 2021年第23期13卷 3422页

作者： Li, Yange He, Jianhua Chen, Fang Han, Zheng Wang, Weidong Chen, Guangqi Huang, Jianling Cent South Univ Sch Civil Engn Changsha 410075 Peoples R China Minist Educ Key Lab Engn Struct Heavy Haul Railway Changsha 410075 Peoples R China Hunan Prov Key Lab Disaster Prevent & Mitigat Rai Changsha 410075 Peoples R China Kyushu Univ Dept Civil Engn Fukuoka 8190395 Japan

The generation of map units is a fundamental step for an appropriate assessment of landslide susceptibility. Recent studies have indicated that the terrain relief-based slope units perform better in homogeneity compared with the grid units. However, it is difficult at present to generate high-precision and high-matching slope units by traditional methods. The problem commonly concentrates in the plain areas without obvious terrain reliefs and the junction of sudden changes in terrain. In this paper, we propose a novel object-oriented segmentation method for generating homogeneous slope units. Herein, the multi-resolution segmentation algorithm in the image processing field is introduced, enabling the integration of terrain boundary conditions and image segmentation conditions in slope units. In order to illustrate the performances of the proposed method, Kitakyushu region in Japan is selected as a case study. The results show that the proposed method generates satisfactory slope units that satisfactorily reproduce the actual terrain relief, with the best within-unit and between-unit homogeneities compared with the previous methods, in particular at the plain areas. We also verify the effectiveness of the presented method through the sensitivity analysis using different resolutions of digital elevation models (DEMs) data of the region. It is reported that the presented approach is notably advanced in the requirements of the quality of DEM data, as the presented approach is less sensitive to DEM spatial resolution compared with other available methods.

关键词： slope unit object-oriented method multi-resolution segmentation DEM spatial resolution Kitakyushu region

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AN object-oriented method BASED ON MULTI-SCALE SEGMENTATION FOR CLASSIFICATION AND MAPPING FROM QUICK BIRD IMAGES

AN OBJECT-ORIENTED METHOD BASED ON MULTI-SCALE SEGMENTATION ...

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Zhou, Limei Xu, Wenbo Wang, Zhaoxian Zhang, Wenzhi Wang, Jing Zhang, Xiaoyu Fan, Jinlong Univ Elect Sci & Technol China Sch Resources & Environm Chengdu 611731 Peoples R China Ningxia Inst Meteorol Sci Ningxia PT-750002 Peoples R China Nat Satellite Meteorol Ctr Beijing 100081 Peoples R China

ISBN: (纸本)9781479911141

The classification and mapping method is vital for many fields of research and has important societal and economic meaning. In this study, we applied QuickBird image to discuss a Multi-scale segmentation method about orchard in Taolin region, Ningxia province in China. Meanwhile, eCognition, as the leading object-oriented software in the world, was used to achieve the goal of classification and mapping. Then, based on the image object's attributes, relationship of each other etc, we formulated a orchard classification system, set a suit of remote sensing interpretation standard, and put forward a Multi-scale segmentation idea to realize sophisticated classification and get satisfied classification result.

关键词： object-oriented method eCognition 8.64 Multi-scale segmentation Quick Bird image

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Shoreline Change Detection and Forecast along the Yancheng Coast Using a Digital Shoreline Analysis System

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WETLANDS 2021年第4期41卷 47页

作者： Yan, Dandan Yao, Xiuying Li, Jingtai Qi, Liping Luan, Zhaoqing Nanjing Forestry Univ CoInnovat Ctr Sustainable Forestry Southern China Coll Biol & Environm Nanjing 210037 Jiangsu Peoples R China

Shorelines are the dynamic interfaces of both terrestrial and marine environments and are sensitive to climate and anthropogenic influences. The change in the shoreline plays a critical role in intertidal mudflat resources and coastal ecological environment. This paper extracts shoreline along the coast of Yancheng from 1983 to 2020 using a new procedure. The proposed procedure is based on a combination of object-oriented technology and thresholding the wetness components of the tasseled cap transformation (TCT). Then, we studied the temporal and spatial variation in the shoreline and predicted shore movement using the Digital Shoreline Analysis System (DSAS). The results indicated that we yielded a better extraction of shoreline results using the new approach. The shoreline change analysis for the coast of Yancheng over 40 years indicated that 89% was accretion, 3% was under stable coast and erosion was 8%. The coast showed a significant trend of expanding to the sea. Finally, we forecasted shoreline position for the years 2019 and 2020 based on the historical shoreline position data from 1983 to 2009 and 1983-2010 by using the Kalman filter. The results of this study may help coastal researchers and decision makers to guide the use, management, and planning of coastal zones in further study.

关键词： object-oriented method Tasseled cap transformation Shoreline DSAS

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