A Comparative Study of Classical Clustering Method and Cuckoo Search Approach for Satellite Image Clustering: Application to Water Body Extraction-Reference-Cited by-同舟云学术

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A Comparative Study of Classical Clustering Method and Cuckoo Search Approach for Satellite Image Clustering: Application to Water Body Extraction

Published:2018-01-02 Issue:1 Volume:32 Page:96-118
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Labed Kaouter¹²,Fizazi Hadria¹,Mahi Habib³,Galvan Inés M.⁴

Affiliation:

1. Computer Science Faculty, University of Mohamed Boudiaf – USTOMB, Oran, Algeria

2. Ecole Normale Supérieure d'Oran, Orans, Algérie

3. Department of Earth Observation, Center of Space Techniques, Arzew, Algeria

4. Computer Science Department, Universidad Carlos III de Madrid, Avda. Universidad 30, 28911 Leganés, Spain

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2018.1451214

Reference40 articles.

1. An extensive comparative study of cluster validity indices

2. Cuckoo Search Algorithm for Optimization Problems—A Literature Review and its Applications

3. Multiobjective Genetic Clustering for Pixel Classification in Remote Sensing Imagery

4. FCM: The fuzzy c-means clustering algorithm

5. Cluster Validity with Fuzzy Sets

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1. Emerging methodologies in waterbody delineation: an In-depth review;International Journal of Remote Sensing;2024-07-31

2. An Effective and Adaptable K-means Algorithm for Big Data Cluster Analysis;Pattern Recognition;2023-07

3. Critical review on deep learning methodologies employed for water-body segmentation through remote sensing images;Multimedia Tools and Applications;2023-05-10

4. Multiple classifier system for remotely sensed data clustering;IET Image Processing;2021-10-04

5. Adaptive Cuckoo Search based optimal bilateral filtering for denoising of satellite images;ISA Transactions;2020-05

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