This paper presents a contrasted statistical processing approach to obtain improved probabilities of false alarm when performing automatic target detection. The technique is based upon analyzing each sector of the image and comparing it with surrounding windows in which the desired statistical property is calculated. The contrast of the statistical property is extracted using the prediction or the prediction-correction equations. The contrast of the statistical property is shown to be a good discriminator of the target from its background allowing the reduction of the detection threshold applied over the stationary region while maintaining a constant false alarm probability.
|Number of pages||12|
|Journal||Proceedings of SPIE - The International Society for Optical Engineering|
|State||Published - 1999|
|Event||Proceedings of the 1999 Applications of Digital Image Processing XXII - Denver, CO, USA|
Duration: 20 Jul 1999 → 23 Jul 1999