Deep Learning based Improved Automatic Building Extraction from Open-Source High Resolution Unmanned Aerial Vehicle (UAV) Imagery

Author:

Maniyar Chintan1ORCID,Kumar Minakshi1

Affiliation:

1. Indian Institute of Remote Sensing

Publisher

Wiley

Reference34 articles.

1. H. Momm and G. Easso "Feature Extraction from High-Resolution Remotely Sensed Imagery using Evolutionary Computation " Evol. Algorithms no. October 2014 2011 doi: 10.5772/15915.

2. L. Gomez-Chova G. Camps-Valls J. Munoz-Mari and J. Calpe "Semi-supervised image classification with huberized Laplacian Support Vector Machines " IEEE Geosci. Remote Sens.

3. Classification and feature extraction for remote sensing images from urban areas based on morphological transformations;Benediktsson J. A.;IEEE Trans. Geosci. Remote Sens.,2003

4. Modelling and representation issues in automated feature extraction from aerial and satellite images;Sowmya A.;ISPRS J. Photogramm. Remote Sens.,2000

5. Deep Learning Based Feature Selection for Remote Sensing Scene Classification;Zou Q.;IEEE Geosci. Remote Sens. Lett.,2015

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