Robert Kremens

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We propose a hybrid contextual fire detection algorithm for airborne and satellite thermal images. The proposed algorithm essentially treats fire pixels as anomalies in images and can be considered a special case of the more general clutter or background suppression problem. It utilizes the local background around a potential fire pixel and discriminates(More)
A proposed system for real-time modeling of wildfires is described. The system involves numerical weather and fire prediction, automated data acquisition from Internet sources, and input from aerial photographs and sensors. The system will be controlled by a non-Gaussian ensemble filter capable of assimilating out-of-order data. The computational model will(More)
In consumer digital cameras, some of the primary tasks in the image capture data path include automatic focus, automatic exposure (AE) determination and auto-white balance. There are numerous algorithms used in implementing these tasks – auto-focus is implemented using maximum contrast, ranging or sonar; white balance using color gamut determinations and(More)
An autonomous fire detector (AFD) is an electronic system consisting of fire detection sensors, a power source, a communication radio and a global positioning system receiver (GPS). AFDs will be stationed as sentries in and around a fire site to monitor the location and movement of the fire. The package could be dropped by spotter planes at a fire site or(More)
A proposed system for real-time modeling of wildfires is described. The system involves numerical weather and fire prediction, automated data acquisition from Internet sources, and input from aerial photographs and sensors. The system will be controlled by a nonGaussian ensemble filter capable of assimilating out-of-order data. The computational model will(More)
We report on an ongoing effort to build a Dynamic Data Driven Application System (DDDAS) for short-range forecast of wildfire behavior from real-time weather data, images, and sensor streams. The system should change the forecast when new data is received. The basic approach is to encapsulate the model code and use an ensemble Kalman filter in time-space.(More)
Janice L. Coen *, Jonathan D. Beezley , Lynn S. Bennethum, Craig C. Douglas, Minjeong Kim, Robert Kremens, Jan Mandel , Guan Qin, and Anthony Vodacek 1 National Center for Atmospheric Research, Boulder, CO 2 University of Colorado at Denver and Health Sciences Center, Denver, CO 3 University of Kentucky, Lexington, KY 4 Rochester Institute of Technology,(More)
In consumer digital cameras, some of the primary tasks in the image capture data path include automatic focus (AF), automatic exposure (AE) determination and autowhite balance. There are numerous algorithms used in implementing these tasks – auto-focus is implemented using maximum contrast, ranging or sonar; white balance using color gamut determinations(More)
We present a method to improve subpixel signal detection in airborne or orbital image sequences. The proposed technique recognizes stable interest point features in multiple overlapping frames. It estimates motion between consecutive frames and tracks candidate detections over time. The final detection decision combines signal strengths from multiple views(More)