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The improvements in spectral and spatial resolution of the satellite imageshave facilitated the automatic extraction and identification of the featuresfrom satellite images and aerial photographs. An automatic object extractionmethod is presented for extracting and identifying the various objects fromsatellite images and the accuracy of the system is verified with regard to IRSsatellite images. The system is based on neural network and simulates theprocess of visual interpretation from remote sensing images and hence increasesthe efficiency of image analysis. This approach obtains the basiccharacteristics of the various features and the performance is enhanced by theautomatic learning approach, intelligent interpretation, and intelligentinterpolation. The major advantage of the method is its simplicity and that thesystem identifies the features not only based on pixel value but also based onthe shape, haralick features etc of the objects. Further the system allowsflexibility for identifying the features within the same category based on sizeand shape. The successful application of the system verified its effectivenessand the accuracy of the system were assessed by ground truth verification.

An enhanced neural network based approach towards object extraction