Wiener filter based deep convolutional network approach for classification of satellite images
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02410-3.pdf
Reference19 articles.
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3. Behera SK, Rath AK, Mahapatra A et al (2020) Identification, classification & grading of fruits using machine learning & computer intelligence: a review. J Ambient Intell Human Comput. https://doi.org/10.1007/s12652-020-01865-8
4. Chantharaj S, Pornratthanapong K, Chitsinpchayakun P, Panboonyuen T, Vateekul P, Lawavirojwong S, Srestasathiern P, Jitkajornwanich U (2018) Semantic segmentation on medium-resolution satellite images using deep convolutional networks with remote sensing derived indices. In: 2018 15th International joint conference on computer science and software engineering (JCSSE)
5. Emilio G, Tabik S, Alcaraz-Segura D, Cabello J, Herrera F (2017) Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study. Remote Sens 9:1220
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1. Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis;Remote Sensing;2021-02-23
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