Showing papers on "Contextual image classification published in 1977"
TL;DR: A supervised discriminant mixed integer programming algorithm (DISMIP) is described which achieves either linear or non-linear separation, without assuming any specific probability distribution, which offers greater flexibility in dealing with problems of multi-spectral classification.
4 citations
08 Dec 1977
TL;DR: It is shown that using a Bayes supervised classifier the classification accuracy of the bandwidth compressed picture is actually higher than the original picture.
Abstract: For many pattern classification and pattern recognition applications, the multispectral data is first used to obtain a classified image (map). This image is then used for different image data extraction and classifi-cation applications. It is important that a particular bandwidth compression method should not result in significant changes in the resulting classification map. In this article the performance of a hybrid encoder (Hadamard/DPCM) in retaining the classification accuracy of the classified image is evaluated. It is shown that using a Bayes supervised classifier the classification accuracy of the bandwidth compressed picture is actually higher than the original picture.© (1977) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
1 citations