Constant False Alarm Rate in Fire Detection for MODIS Data

Abstract

This paper introduces the concept of Constant False Alarm Rate (CFAR) in fire detection for multispectral satellite data. A new algorithm is proposed, based on a technique successfully applied for detection of extended objects in High Resolution SAR images. It compares the pixel under analysis with an adaptive threshold, suitably estimated from the pixels surrounding the one under test, in order to ensure the CFAR property. The proposed approach requires that the background distribution is of Location Scale (LS) type or amenable to such a distribution by a suitable transformation. MODIS data from the 4-micrometer channel are considered. A preliminary statistical analysis is performed to verify if the Weibull distribution, compliant with LS representation, can be adopted for background. MODIS cloud and water masking are applied to identify those pixels to be discarded before implementing the statistical analysis. Results of fire detection are presented for different values of the system parameters (censoring depth and false alarm rate) and compared with the algorithm implemented in the NASA-DAAC MOD14.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 25, 2005
Accession Number
ADA450002

Entities

People

  • C. Galdi
  • M. Di Bisceglie
  • R. Episcopo
  • S. L. Ullo

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Computational Complexity
  • Data Science
  • Data Sets
  • Detection
  • Detectors
  • Estimators
  • False Alarms
  • Information Science
  • Monte Carlo Method
  • Probability
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Distributions
  • Warning Systems

Readers

  • Image Processing and Computer Vision.
  • Regression Analysis.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Space
  • Space - Space Objects