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Video Based Fire Detection Systems on Forest and wildland Using Convolutional Neural Network

Journal of Donghua University(English Edition) 2019年第2期36卷 149-157页

作者： HICINTUKA Jean Philippe ZHOU Wuneng College of Information Science and Technology Donghua University

The devastating effects of wildland fire are an unsolved problem,resulting in human losses and the destruction of natural and economic *** neural network(CNN)is shown to perform very well in the area of object *** network has the ability to perform feature extraction and classification within the same *** this paper,we propose a CNN for identifying fire in videos.A deep domain based method for video fire detection is proposed to extract a powerful feature representation of *** on real video sequences,the proposed approach achieves better classification performance as some of relevant conventional video based fire detection methods and indicates that using CNN to detect fire in videos is *** balance the efficiency and accuracy,the model is fine-tuned considering the nature of the target problem and fire *** results on benchmark fire datasets reveal the effectiveness of the proposed framework and validate its suitability for fire detection in closed-circuit television surveillance systems compared to state-of-the-art methods.

关键词： fire detection wildland fires convolutional neural network(CNN) video sequences video analysis object analysis

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Designing an Online Geospatial System for Forest Resource Management

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Journal of Geographic Information System 2014年第3期6卷 185-208页

作者： Peter G. Oduor Michael Armstrong Larry Kotchman Michael Kangas Buddhika Maddurapperuma Kelsey Forward Pubudu Wijeyaratne Xiana Santos Akiko Nakamura Krystal Leidholm California Department of Fish & Game Washburn USA Department of Computer Science North Dakota State University Fargo USA Department of Forestry Mississippi State University Starkville USA Department of Geosciences North Dakota State University Fargo USA East View Geospatial Minneapolis USA Environmental & Conservation Science Program North Dakota State University Fargo USA IT Systems Vulnerability Sanford Health Fargo Fargo USA North Dakota Forest Service Bottineau USA North Dakota Forest Service North Dakota State University Fargo USA Wenck Associates North Dakota Fargo USA

Geographic and Geospatial information systems (GISs) have especially benefited from increased development of their inherent capabilities and improved deployment. These systems offer a wide range of services, for example, user-friendly forms that interact with the geospatial components for locational information and geographic extents. An online distributed platform was designed for forest resource management with map elements residing on a GIS platform. This system is accessible on non-authenticated browsers optimized for desktops;whereas the online resource management forms are also accessible on mobile platforms. The system was primarily designed to aid foresters in implementing resource management plans or track threats to forest resource. Baseline data from the system can be easily visualized and mapped. Other data from the systemcan provide input for stochastic analyses especially with respect to forest resource management.

关键词： ArcGIS Server wildland Fire Forest Stewardship North Dakota

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