Semantic Segmentation of Urban Areas in Polarimetric SAR Imaging using Deep Neural Networks and Decision Trees-Reference-Cited by-同舟云学术

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Semantic Segmentation of Urban Areas in Polarimetric SAR Imaging using Deep Neural Networks and Decision Trees

Published:2021-12-06 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International India Geoscience and Remote Sensing Symposium (InGARSS)
language:
Short-container-title:

Author:

Kumari Tripti¹,Khan Farhan Hai²,Halder Tamesh³,Gayen Rintu Kumar⁴,Ray Arundhati Mishra⁵,Chakravarty Debashish³

Affiliation:

1. Indian Institute of Information Technology,Department of Computer Science Engineering,Ranchi,India

2. Institute of Engineering & Management,Department of Electrical Engineering,Kolkata,India

3. Indian Institute of Technology,Department of Mining Engineering,Kharagpur,India

4. Institute of Engineering & Management,Department of Electronics and Communication Engineering,Kolkata,India

5. Indian Space Research Organization,Space Application Centre,Ahmedabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9791458/9791465/09791957.pdf?arnumber=9791957

Reference16 articles.

1. Improved POLSAR Image Classification by the Use of Multi-Feature Combination

2. Semantic segmentation of PolSAR image data using advanced deep learning model;rajat;Sci Rep,2021

3. U-Net: Convolutional Networks for Biomedical Image Segmentation;ronneberger;Lecture Notes in Computer Science,2015

4. Hands-on Transfer Learning with Keras and the VGG16 Model – LearnDataSci,0

5. C5. 0 Algorithm to Improved Decision Tree with Feature Selection and Reduced Error Pruning

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advantages of Polarimetry and Interferometry for Semantic Segmentation of Urban SAR Images with Consideration of the Layover;2023 Joint Urban Remote Sensing Event (JURSE);2023-05-17

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