Change Detection in Satellite Images Using Self-Organizing Maps

2015 12th International Conference on Information Technology - New Generations ◽

10.1109/itng.2015.111 ◽

2015 ◽

Cited By ~ 4

Author(s):

Michael D.L. Santos ◽

Elcio H. Shiguemori ◽

Rodrigo L.M. Mota ◽

Alexandre C.B. Ramos

Keyword(s):

Change Detection ◽

Satellite Images ◽

Self Organizing Maps ◽

Self Organizing

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Change Detection Types of Buildings in Aleppo Citadel Urban Area During Syrian Crisis Using Self-Organizing Maps Neural Networks and VHR Quickbird & Worldview-2 Satellite Images

10.1109/igarss47720.2021.9554581 ◽

2021 ◽

Author(s):

Bashar Sabouh ◽

Ahed Alboody ◽

Mohamad Najib Salah ◽

Ghadir Hmeidan

Keyword(s):

Neural Networks ◽

Change Detection ◽

Urban Area ◽

Satellite Images ◽

Self Organizing Maps ◽

Syrian Crisis ◽

Self Organizing

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Application of Self-Organizing Maps at Change Detection in Amazon Forest

2014 11th International Conference on Information Technology: New Generations ◽

10.1109/itng.2014.41 ◽

2014 ◽

Cited By ~ 4

Author(s):

Rodrigo Luiz Mendes Mota ◽

Elcio Hideiti Shiguemori ◽

Alexandre Carlos Brandao Ramos

Keyword(s):

Change Detection ◽

Amazon Forest ◽

Self Organizing Maps ◽

Self Organizing

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SOMDNCD: Image Change Detection Based on Self-Organizing Maps and Deep Neural Networks

IEEE Access ◽

10.1109/access.2018.2849110 ◽

2018 ◽

Vol 6 ◽

pp. 35915-35925 ◽

Cited By ~ 5

Author(s):

Ruliang Xiao ◽

Runxi Cui ◽

Mingwei Lin ◽

Lifei Chen ◽

Youcong Ni ◽

...

Keyword(s):

Neural Networks ◽

Change Detection ◽

Deep Neural Networks ◽

Self Organizing Maps ◽

Image Change Detection ◽

Self Organizing

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Supervized Change Detection for SAR Imagery Based on Processing of a Low Size Training Data Set by an Ensemble of Self-Organizing Maps

2018 International Conference on Communications (COMM) ◽

10.1109/iccomm.2018.8484799 ◽

2018 ◽

Author(s):

Victor-Emil Neagoe ◽

Adrian-Dumitru Ciotec

Keyword(s):

Change Detection ◽

Training Data ◽

Self Organizing Maps ◽

Data Set ◽

Sar Imagery ◽

Self Organizing

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A Weakly-Supervised Change Detection Technique for SAR Images Based on Deep Learning and Synthetic Training Data Generated by an Ensemble of Self-Organizing Maps

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8898344 ◽

2019 ◽

Cited By ~ 1

Author(s):

Victor-Emil Neagoe ◽

Adrian-Dumitru Ciotec ◽

Lorenzo Bruzzone

Keyword(s):

Deep Learning ◽

Change Detection ◽

Detection Technique ◽

Training Data ◽

Sar Images ◽

Self Organizing Maps ◽

Weakly Supervised ◽

Synthetic Training Data ◽

Self Organizing

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Concurrent Self-Organizing Maps for Supervised/Unsupervised Change Detection in Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2014.2330808 ◽

2014 ◽

Vol 7 (8) ◽

pp. 3525-3533 ◽

Cited By ~ 19

Author(s):

Victor-Emil Neagoe ◽

Radu-Mihai Stoica ◽

Alexandru-Ioan Ciurea ◽

Lorenzo Bruzzone ◽

Francesca Bovolo

Keyword(s):

Remote Sensing ◽

Change Detection ◽

Remote Sensing Images ◽

Self Organizing Maps ◽

Self Organizing

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A New Neural Approach of Supervised Change Detection in SAR Images Using Training Data Generation with Concurrent Self-Organizing Maps

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2018.8518558 ◽

2018 ◽

Cited By ~ 1

Author(s):

Victor-Emil Neagoe ◽

Radu-Mihai Stoica

Keyword(s):

Change Detection ◽

Training Data ◽

Data Generation ◽

Sar Images ◽

Self Organizing Maps ◽

Self Organizing

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Segmentation of Satellite Images Using Self-Organizing Maps

Self-Organizing Maps ◽

10.5772/9167 ◽

2010 ◽

Cited By ~ 3

Author(s):

Mohamad Awad

Keyword(s):

Satellite Images ◽

Self Organizing Maps ◽

Self Organizing

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Supervized Change Detection for SAR Imagery Based on Processing of a Low Size Training Data Set by an Ensemble of Self-Organizing Maps

2018 International Conference on Communications (COMM) ◽

10.1109/iccomm.2018.8429977 ◽

2018 ◽

Cited By ~ 1

Author(s):

Victor-Emil Neagoe ◽

Adrian-Dumitru Ciotec

Keyword(s):

Change Detection ◽

Training Data ◽

Self Organizing Maps ◽

Data Set ◽

Sar Imagery ◽

Self Organizing

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A Recommendation Model that Combines Self-Organizing Maps and Case-Based Reasoning: A Case of Online Community Recommender Systems

The e-Business Studies ◽

10.15719/geba.9.1.200803.309 ◽

2008 ◽

Vol 9 (1) ◽

pp. 309-327 ◽

Cited By ~ 1

Author(s):

Hyoung-yong Lee

Keyword(s):

Recommender Systems ◽

Online Community ◽

Case Based Reasoning ◽

Self Organizing Maps ◽

Case Based ◽

Self Organizing

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