Built-Up Area Extraction on Multispectral Satellite Data Using Simple CNN
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-2719-5_8
Reference19 articles.
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2. Cavur, M., Kemec, S., Nabdel, L., Duzgun, H.S.: An evaluation of land use land cover (LULC) classification for urban applications with quickbird and worlview2 data. In: 2015 Joint urban remote sensing event (JURSE) - IEEE, Lausanne, Switzerland (2015)
3. Jalal, R., et al.: Toward efficient land cover mapping: an overview of the national land representation system and land cover Map 2015 of Bangladesh. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 12(10), 3852–3861 (2019)
4. Li, W., Liu, H., Wang, Y., Li, Z., Jia, Y., Gui, G.: Deep learning-based classification methods for remote sensing images in urban built-up areas. IEEE Access 7, 36274–36284 (2019)
5. Rai, A.K., Mandal, N., Singh, A., Singh, K.K.: Landsat 8 OLI satellite image classification using convolutional neural network. Procedia Comput. Sci. 167, 987–993 (2020)
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