Detail An Intelligent System for False Alarm Reduction in Infrared Forest-Fire Detection   Oleh:  Arrue, B. C. ; Ollero, A. ; Dios, J. R. Matinez de Jenis: Article from Bulletin/Magazine Dalam koleksi: IEEE Intelligent Systems vol. 15 no. 3 (2000), page 64-73. Topik: edge detection; intelligent system; false alarm reduction; forest - fire detection Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: II60.3 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Isi artikel Forest fires cause many environmental disasters, creating economical and ecological damage as well as endangering people's lives. Heightened interest in automatic surveillance and early forest - fire detection has taken precedence over traditional human surveillance because the latter's subjectivity affects detection reliability, which is the main issue for forest - fire detection systems. In current systems, the process is tedious, and human operators must manually validate many false alarms. Our approach, the False Alarm Reduction system, proposes an alternative real - time infrared - visual system that overcomes this problem. The FAR system consists of applying new infrared - image processing techniques and artificial neural networks (ANN s), using additional information from meteorological sensors and from a geographical information database, taking advantage of the information redundancy from visual and infrared cameras through a matching process, and designing a fuzzy expert rule base to develop a decision function. Furthermore, the system provides the human operator with new software tools to verify alarms. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

Copyright © 2006, 2007 Unika Atma Jaya, all rights reserved