Deep learning approach for monitoring urban land cover changes

Author:

Perikamana Krishna Kumar,Balakrishnan Krishnachandran,Tripathy Pratyush

Publisher

Elsevier

Reference77 articles.

1. Ankur. (2017). Understanding data parallelism in machine learning. Telesens. https://www.telesens.co/2017/12/25/understanding-data-parallelism-in-machine-learning/.

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3. Mapping sub-pixel proportional land cover with AVHRR imagery;Atkinson;International Journal of Remote Sensing,1997

4. Gradient amplification: An efficient way to train deep neural networks;Basodi;Big Data Mining and Analytics,2020

5. Establishing the best spectral bands and timing of imagery for Land Use–Land Cover (LULC) class separability using Landsat ETM+ and Terra Modis Data;Biradar;Canadian Journal of Remote Sensing,2007

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