Superpixel-Based Multiscale CNN Approach Toward Multiclass Object Segmentation From UAV-Captured Aerial Images-Reference-Cited by-同舟云学术

Superpixel-Based Multiscale CNN Approach Toward Multiclass Object Segmentation From UAV-Captured Aerial Images

Published:2023 Issue: Volume:16 Page:1771-1784
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Behera Tanmay Kumar¹^ORCID,Bakshi Sambit¹^ORCID,Nappi Michele²^ORCID,Sa Pankaj Kumar¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, India

2. Department of Computer Science, University of Salerno, Fisciano, Italy

Funder

Deep learning applications for computer vision task

NITROAA

Lenovo P920

Dell Inception 7820

NVIDIA Titan V

Quadro RTX 8000 GPU

Technical Education Quality Improvement Programme

National Project Implementation Unit, Government of India

Computer vision-based smart solutions for UAV remote sensing applications

Vishlesan I-Hub Foundation, IIT Patna (NMCPS-DST), Government of India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference58 articles.

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4. Adam: A method for stochastic optimization;kingma;Proc 3rd Int Conf Learn Representations,0

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