Improvement in Satellite Images by Amalgam of Brovey and PCA Algorithm with Artificial Neural Network
Lecture Notes in Electrical Engineering, ISSN: 1876-1119, Vol: 570, Page: 251-259
2020
- 1Citations
- 4Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85070610594&origin=inward; http://dx.doi.org/10.1007/978-981-13-8715-9_30; http://link.springer.com/10.1007/978-981-13-8715-9_30; http://link.springer.com/content/pdf/10.1007/978-981-13-8715-9_30; https://dx.doi.org/10.1007/978-981-13-8715-9_30; https://link.springer.com/chapter/10.1007/978-981-13-8715-9_30
Springer Science and Business Media LLC
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