Fusing deep convolutional neural network features with Thepade’s SBTC for land usage identification

Fusing deep convolutional neural network features with Thepade’s SBTC for land usage identification

Rapid progress in deep learning (DL) is benefitting almost all fields including ‘Remote Sensing’. Until now several deep convolutional neural networks (DCNN) are proposed, every one of them gives distinct results according to its depth as well as hyperparameters. It’s very arduous to develop these D...

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Bibliographic Details
Main Authors: Sudeep D. Thepade, Mayuresh R. Dindorkar
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:Engineering Science and Technology, an International Journal
Subjects:
Land usage identification
Transfer learning
Pretrained deep CNN
Remote sensing
Thepade’s SBTC
Online Access:http://www.sciencedirect.com/science/article/pii/S2215098621001269

Internet

http://www.sciencedirect.com/science/article/pii/S2215098621001269

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