A Futuristic Deep Learning Framework Approach for Land Use-Land Cover Classification Using Remote Sensing Imagery-Reference-Cited by-同舟云学术

A Futuristic Deep Learning Framework Approach for Land Use-Land Cover Classification Using Remote Sensing Imagery

Published:2018-07-06 Issue: Volume: Page:87-96
ISSN:2194-5357
Container-title:Advanced Computing and Communication Technologies
language:
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Author:

Nijhawan Rahul,Joshi Deepankar,Narang Naman,Mittal Aditya,Mittal Ankush

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-0680-8_9

Reference29 articles.

1. Pesaresi, M., Gerhardinger, A.: Improved textural built-up presence index for automatic recognition of human settlements in arid regions with scattered vegetation. IEEE J. Sel. Top. Appl. Earth Observations Remote Sens. 4(1), 16–26 (2011)

2. Rizvi, I.A., Mohan, B.K.: Object-based image analysis of high-resolution satellite images using modified cloud basis function neural network and probabilistic relaxation labeling process. IEEE Trans. Geosci. Remote Sens. 49(12), 4815–4820 (2011)

3. Gaetano, R., Masi, G., Poggi, G., Verdoliva, L., Scarpa, G.: Marker-controlled watershed-based segmentation of multiresolution remote sensing images. IEEE Trans. Geosci. Remote Sens. 53(6), 2987–3004 (2015)

4. Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Adv. Neural Inf. Process. Syst. (2012)

5. Midhun, M.E., Nair, S.R., Prabhakar, V.T., Kumar, S.S.: Deep model for classification of hyperspectral image using restricted Boltzmann machine. In: Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing. ACM (2014)

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