Cloud detection in satellite images using multi-objective social spider optimization-Reference-Cited by-同舟云学术

Cloud detection in satellite images using multi-objective social spider optimization

Published:2019-06 Issue: Volume:79 Page:203-226
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Gupta Rachana,Nanda Satyasai Jagannath,Shukla Urvashi Prakash

Publisher

Elsevier BV

Subject

Software

Reference46 articles.

1. Remote Sensing for a Changing Europe: Proceedings of the 28th Symposium of the European Association of Remote Sensing Laboratories, Istanbul, Turkey, 2–5 June 2008;Maktav,2009

2. Remote Sensing of the Environment: An Earth Resource Perspective 2/e;Jensen,2009

3. Cloud cover from high-resolution scanner data- detecting and allowing for partially filled fields of view;Coakley;J. Geophys. Res.,1982

4. A comparison of paired histogram, maximum likelihood, class elimination, and neural network approaches for daylight global cloud classification using AVHRR imagery;Berendes;J. Geophys. Res.,1999

5. A social spider algorithm for global optimization;James;Appl. Soft Comput.,2015

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A many objective chimp optimization algorithm to de-cluster earthquake catalogs in space time domain;Soft Computing;2023-10-21

2. Multi-objective Image Segmentation using SMS-EMOA for Side Scan Sonar Data Analysis;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

3. Social Spider Optimization Meta-heuristic for Node Localization Optimization in Wireless Sensor Networks;Lecture Notes in Networks and Systems;2023

4. A Many-objective Chaotic Whale Optimization based Automatic Clustering Algorithm for Distributed Data Analysis in WSN;2022 2nd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON);2022-11-11

5. Cloud detection in satellite images with classical and deep neural network approach: A review;Multimedia Tools and Applications;2022-04-11