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A novel feature extraction technique to retrieve vegetation class for fire risk assessment

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : A novel feature extraction technique to retrieve vegetation class for fire risk assessment
นักวิจัย : Chowdhury, Sujan , Centre for Intelligent and Networked Systems (CINS) , Verma, Brijesh , Centre for Intelligent and Networked Systems (CINS)
คำค้น : K-Means Clustering , Support Vector Machine , Image Processing , Radial Basis Function
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2557
อ้างอิง : http://hdl.cqu.edu.au/10018/1029985 , acquire1-20150131-174418 , cqu:12237
ที่มา : -
ความเชี่ยวชาญ : -
ความสัมพันธ์ : -
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

This paper presents the work done in an attempt to develop an automatic computer vision system for the identification of dense and sparse grasses from the roadside. One of the major problems for the identification of this kind of grasses is similar spectral signature with respect to the color, shape and also irregular distribution in the field. However concerns regarding the application have prompted increasing interests in seeking a novel feature extraction technique that can be used in identifying dense and sparse regions from roadside. This paper describes a new strategy involving two processes: extracting features with novel feature extraction technique and decision making. The strategy consists of a novel feature extraction technique that is effective for extraction of features from the digital image while decision making is based on nonlinear Support Vector Machine (SVM) with a radial basis function. Analysis of the results reveals that proposed feature extraction technique with SVM achieves above 93% accuracy on test images.

บรรณานุกรม :
Chowdhury, Sujan , Centre for Intelligent and Networked Systems (CINS) , Verma, Brijesh , Centre for Intelligent and Networked Systems (CINS) . (2557). A novel feature extraction technique to retrieve vegetation class for fire risk assessment.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Chowdhury, Sujan , Centre for Intelligent and Networked Systems (CINS) , Verma, Brijesh , Centre for Intelligent and Networked Systems (CINS) . 2557. "A novel feature extraction technique to retrieve vegetation class for fire risk assessment".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Chowdhury, Sujan , Centre for Intelligent and Networked Systems (CINS) , Verma, Brijesh , Centre for Intelligent and Networked Systems (CINS) . "A novel feature extraction technique to retrieve vegetation class for fire risk assessment."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2557. Print.
Chowdhury, Sujan , Centre for Intelligent and Networked Systems (CINS) , Verma, Brijesh , Centre for Intelligent and Networked Systems (CINS) . A novel feature extraction technique to retrieve vegetation class for fire risk assessment. กรุงเทพมหานคร : Central Queensland University, Australia; 2557.