Review of Various Learning Algorithms Applied to Satellite Image Classification-Reference-Cited by-同舟云学术

Review of Various Learning Algorithms Applied to Satellite Image Classification

Published:2021-12-10 Issue: Volume: Page:
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Container-title:2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)
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Author:

Gupta Mohan Vishal,Dwivedi Rakesh Kumar,Kumar Anil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9676173/9675300/09676215.pdf?arnumber=9676215

Reference31 articles.

1. Exploring multiscale object-based convolutional neural network (multi-OCNN) for remote sensing image classification at high spatial resolution

2. Information fusion in a Markov random field-based image segmentation approach using adaptive neighbourhoods

3. Convolutional Neural Network for Extraction of Built-up areas from Sentinel-2 images;djerriri;AGILE – Wageningen,2017

4. The Impact of Energy Consumption on the Surface Urban Heat Island in China’s 32 Major Cities

5. An Algorithm for training multilayer perceptron (MLP) for image reconstruction using neural network without overfitting;mia;Int J Sci Tech Res,2015

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