Categorization and Interpretation of Satellite Image Scenes Employing AI Approaches-Reference-Cited by-同舟云学术

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Categorization and Interpretation of Satellite Image Scenes Employing AI Approaches

Published:2024-04-18 Issue: Volume:11 Page:1-6
ISSN:
Container-title:2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS)
language:
Short-container-title:

Author:

Rao Manjula Gururaj¹,Noronha Shaun¹,Shetty Ritesh¹,Ahamed Shafeeq B M²,Reddy K Hemant Kumar³,Kumar Ch Sree⁴

Affiliation:

1. NITTE (Deemed to be University) NMAM Institute of Technology,Nitte,Karkala

2. Manipal Institute of Technology Manipal Academy of Higher Education,dept. of CSE,Manipal

3. VIT AP University,dept. of CSE

4. NIST,Department of Computer Science,Berhampur

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616388/10616396/10617330.pdf?arnumber=10617330

Reference25 articles.

1. Rotation-Invariant Feature Learning for Object Detection in VHR Optical Remote Sensing Images by Double-Net

2. Multiwavelength laser induced fluorescence (LIF) LIDAR system for remote detection and identification of oil spills

3. Object-Oriented Key Point Vector Distance for Binary Land Cover Change Detection Using VHR Remote Sensing Images

4. Multi-Scale Feature Integrated Attention-Based Rotation Network for Object Detection in VHR Aerial Images

5. Remote-Sensing Image Scene Classification With Deep Neural Networks in JPEG 2000 Compressed Domain

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