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Multiscale Satellite Image Classification Using Deep Learning Approach
Studies in Computational Intelligence - Machine Learning and Data Mining in Aerospace Technology
◽
10.1007/978-3-030-20212-5_9
◽
2019
◽
pp. 165-186
◽
Cited By ~ 1
Author(s):
Noureldin Laban
◽
Bassam Abdellatif
◽
Hala M. Ebied
◽
Howida A. Shedeed
◽
Mohamed F. Tolba
Keyword(s):
Deep Learning
◽
Image Classification
◽
Satellite Image
◽
Learning Approach
◽
Satellite Image Classification
Download Full-text
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Medium Resolution Satellite Image Classification System for Land Cover Mapping in Nigeria: A Multi-phase Deep Learning Approach
Lecture Notes in Networks and Systems - Intelligent Computing
◽
10.1007/978-3-030-80126-7_74
◽
2021
◽
pp. 1056-1072
Author(s):
Nzurumike L. Obianuju
◽
Nwojo Agwu
◽
Onyenwe Ikechukwu
Keyword(s):
Deep Learning
◽
Land Cover
◽
Image Classification
◽
Classification System
◽
Satellite Image
◽
Land Cover Mapping
◽
Learning Approach
◽
Satellite Image Classification
◽
Medium Resolution
◽
Multi Phase
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Evaluation of Transfer Learning Approach for Satellite Image Classification
2020 Innovations in Intelligent Systems and Applications Conference (ASYU)
◽
10.1109/asyu50717.2020.9259898
◽
2020
◽
Author(s):
Ibrahim Onuralp Yigit
Keyword(s):
Image Classification
◽
Transfer Learning
◽
Satellite Image
◽
Learning Approach
◽
Satellite Image Classification
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Understanding deep learning decision for satellite image classification
Pattern Recognition and Tracking XXXII
◽
10.1117/12.2591974
◽
2021
◽
Author(s):
Asif Mehmood
Keyword(s):
Deep Learning
◽
Image Classification
◽
Satellite Image
◽
Satellite Image Classification
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SATELLITE IMAGE CLASSIFICATION: FROM HANDCRAFTED FEATURES TO DEEP LEARNING FEATURES
Indian Journal of Computer Science and Engineering
◽
10.21817/indjcse/2021/v12i5/211205119
◽
2021
◽
Vol 12
(5)
◽
pp. 1494-1502
Author(s):
Khushbu R. Joshi
◽
Manish I. Patel
Keyword(s):
Deep Learning
◽
Image Classification
◽
Satellite Image
◽
Satellite Image Classification
◽
Deep Learning Features
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Deep Learning for Satellite Image Classification
Advances in Intelligent Systems and Computing - Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018
◽
10.1007/978-3-319-99010-1_35
◽
2018
◽
pp. 383-391
◽
Cited By ~ 5
Author(s):
Mayar A. Shafaey
◽
Mohammed A.-M. Salem
◽
H. M. Ebied
◽
M. N. Al-Berry
◽
M. F. Tolba
Keyword(s):
Deep Learning
◽
Image Classification
◽
Satellite Image
◽
Satellite Image Classification
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Satellite Image Classification with Deep Learning
2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
◽
10.1109/aipr.2017.8457969
◽
2017
◽
Cited By ~ 13
Author(s):
Mark Pritt
◽
Gary Chern
Keyword(s):
Deep Learning
◽
Image Classification
◽
Satellite Image
◽
Satellite Image Classification
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Kernel based learning approach for satellite image classification using support vector machine
2011 IEEE Recent Advances in Intelligent Computational Systems
◽
10.1109/raics.2011.6069282
◽
2011
◽
Cited By ~ 1
Author(s):
S. Manthira Moorthi
◽
Indranil Misra
◽
Rajdeep Kaur
◽
Nikunj P Darji
◽
R. Ramakrishnan
Keyword(s):
Support Vector Machine
◽
Image Classification
◽
Satellite Image
◽
Support Vector
◽
Learning Approach
◽
Satellite Image Classification
Download Full-text
Analysis of Deep Learning Applicability for Kompsat-3A Satellite Image Classification
Journal of Korean Society for Geospatial Information System
◽
10.7319/kogsis.2018.26.4.069
◽
2018
◽
Vol 26
(4)
◽
pp. 69-76
Author(s):
Sang Yong Rhee
◽
Wang Soo Jeon
◽
Hyun Choi
Keyword(s):
Deep Learning
◽
Image Classification
◽
Satellite Image
◽
Satellite Image Classification
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Machine Learning Approach Towards Satellite Image Classification
Advances in Intelligent Systems and Computing - Proceedings of International Conference on Trends in Computational and Cognitive Engineering
◽
10.1007/978-981-33-4673-4_51
◽
2020
◽
pp. 627-637
Author(s):
Humayra Ferdous
◽
Tasnim Siraj
◽
Shifat Jahan Setu
◽
Md. Musfique Anwar
◽
Muhammad Arifur Rahman
Keyword(s):
Machine Learning
◽
Image Classification
◽
Satellite Image
◽
Learning Approach
◽
Satellite Image Classification
◽
Machine Learning Approach
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HPWO-LS-based deep learning approach with S-ROA-optimized optic cup segmentation for fundus image classification
Neural Computing and Applications
◽
10.1007/s00521-021-05732-1
◽
2021
◽
Author(s):
J. Ramya
◽
M. P. Rajakumar
◽
B. Uma Maheswari
Keyword(s):
Deep Learning
◽
Image Classification
◽
Learning Approach
◽
Fundus Image
◽
Optic Cup
Download Full-text
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