DPPNet: An Efficient and Robust Deep Learning Network for Land Cover Segmentation From High-Resolution Satellite Images-Reference-Cited by-同舟云学术

DPPNet: An Efficient and Robust Deep Learning Network for Land Cover Segmentation From High-Resolution Satellite Images

Published:2023-02 Issue:1 Volume:7 Page:128-139
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

N Sravya¹,Priyanka ¹,Lal Shyam¹^ORCID,Nalini J²,Reddy Chintala Sudhakar³^ORCID,Dell'Acqua Fabio⁴^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, National Institute of Technology Karnataka, Mangalore, India

2. Aerial Services & Digital Mapping, National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad, India

3. Forest Biodiversity and Ecology Division, National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad, India

4. Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy

Funder

Indian Space Research Organization

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

Reference36 articles.

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