DRSNet: Novel architecture for small patch and low-resolution remote sensing image scene classification

Author:

Chen Feihao,Tsou Jin Yeu

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference47 articles.

1. Segnet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

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3. Castelluccio, M., Poggi, G., Sansone, C., Verdoliva, L., 2015. Land use classification in remote sensing images by convolutional neural networks. arXiv preprint arXiv:1508.00092.

4. Mapping Urban Form and Land Use with Deep Learning Techniques: A Case Study of Dongguan City, China;Chen;Int. J. Oil Gas Coal Technol.,2021

5. Remote sensing image scene classification: Benchmark and state of the art;Cheng;Proc. IEEE,2017

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