Abstract
Image processing is playing a major role in almost all the field to renovate the original images. Image processing includes image capturing, then pre-processing, segmenting, extraction of features and classification. Authors are proposing a method of fusion of the panchromatic and hyperspectral images and then classification using ANN. After pre-processing of satellite image, Segmentation of image have been carried out using fusion techniques incorporating brovey and Principal component analysis which is proven to present best results in terms of enhancement. Authors have achieved accuracy of 95.1% with processing delay of 43.79 ms for 1600 blocks training in NN.
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Joshi, K., Shah, D.D., Deshpande, A.A. (2020). Improvement in Satellite Images by Amalgam of Brovey and PCA Algorithm with Artificial Neural Network. In: Kumar, A., Mozar, S. (eds) ICCCE 2019. Lecture Notes in Electrical Engineering, vol 570. Springer, Singapore. https://doi.org/10.1007/978-981-13-8715-9_30
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DOI: https://doi.org/10.1007/978-981-13-8715-9_30
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