Modernizing the multi-temporal multispectral remotely sensed image change detection for global maxima through binary particle swarm optimization

Change Detection ◽

Particle Swarm ◽

Remotely Sensed ◽

Swarm Optimization ◽

Multi Temporal ◽

Remotely Sensed Image ◽

Image Change Detection

Unsupervised change detection of remotely sensed images from rural areas based on using the hybrid of improved Thresholding techniques and particle swarm optimization

Earth Science Informatics ◽

10.1007/s12145-020-00455-8 ◽

2020 ◽

Vol 13 (3) ◽

pp. 681-694

Author(s):

Sara Khanbani ◽

Ali Mohammadzadeh ◽

Milad Janalipour

Keyword(s):

Change Detection ◽

Rural Areas ◽

Particle Swarm ◽

Remotely Sensed ◽

Swarm Optimization ◽

Remotely Sensed Images

Genetic Particle Swarm Optimization–Based Feature Selection for Very-High-Resolution Remotely Sensed Imagery Object Change Detection

Sensors ◽

10.3390/s16081204 ◽

2016 ◽

Vol 16 (8) ◽

pp. 1204 ◽

Cited By ~ 14

Author(s):

Qiang Chen ◽

Yunhao Chen ◽

Weiguo Jiang

Keyword(s):

Feature Selection ◽

High Resolution ◽

Change Detection ◽

Particle Swarm ◽

Remotely Sensed ◽

Swarm Optimization ◽

Remotely Sensed Imagery ◽

Selection For ◽

Very High

Advances in Intelligent Systems and Computing - Intelligent Computing, Communication and Devices ◽

Image Change Detection Using Particle Swarm Optimization

10.1007/978-81-322-2012-1_86 ◽

2014 ◽

pp. 795-803 ◽

Cited By ~ 2

Author(s):

Santwana Sagnika ◽

Saurabh Bilgaiyan ◽

Bhabani Shankar Prasad Mishra

Keyword(s):

Change Detection ◽

Particle Swarm ◽

Swarm Optimization ◽

Image Change Detection

Classification of Acoustic Emission Signals from Rail Cracks by Binary Particle Swarm Optimization Combined with SVM

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9189134 ◽

2020 ◽

Author(s):

Shuzhi Song ◽

Xin Zhang ◽

Tiantian Sun ◽

Naizhang Feng ◽

Yi Shen

Keyword(s):

Acoustic Emission ◽

Particle Swarm ◽

Scheduling of Demand Side Resources Using Binary Particle Swarm Optimization

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2009.2021219 ◽

2009 ◽

Vol 24 (3) ◽

pp. 1173-1181 ◽

Cited By ~ 191

Author(s):

M. Pedrasa ◽

T.D. Spooner ◽

I.F. MacGill

Keyword(s):

Particle Swarm ◽

Demand Side ◽

Combining Binary Particle Swarm Optimization with Support Vector Machine for Enhancing Rice Varieties Classification Accuracy

IEEE Access ◽

10.1109/access.2021.3076130 ◽

2021 ◽

pp. 1-1

Author(s):

Tran Thi Kim Nga ◽

Tuan Pham-Viet ◽

Dang Minh Tam ◽

Insoo Koo ◽

Vladimir Y. Mariano ◽

...

Keyword(s):

Support Vector Machine ◽

Classification Accuracy ◽

Particle Swarm ◽

Support Vector ◽

Rice Varieties ◽

Multi-modal aggression identification using Convolutional Neural Network and Binary Particle Swarm Optimization

Future Generation Computer Systems ◽

10.1016/j.future.2021.01.014 ◽

2021 ◽

Vol 118 ◽

pp. 187-197

Author(s):

Kirti Kumari ◽

Jyoti Prakash Singh ◽

Yogesh K. Dwivedi ◽

Nripendra P. Rana

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Particle Swarm ◽

A Novel Feature Selection Approach based on Binary Particle Swarm Optimization and Ensemble Learning for Heterogeneous Defect Prediction

2021 3rd Asia Pacific Information Technology Conference ◽

10.1145/3449365.3449384 ◽

2021 ◽

Author(s):

Ruchika Malhotra ◽

Anmol Budhiraja ◽

Abhinav Kumar Singh ◽

Ishani Ghoshal

Keyword(s):

Feature Selection ◽

Ensemble Learning ◽

Particle Swarm ◽

Defect Prediction ◽

Swarm Optimization ◽

Selection Approach ◽

Feature Selection Approach ◽

Heterogeneous Defect Prediction

2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) ◽

Understanding Crowd Intelligence in Large-scale Systems: A Hierarchical Binary Particle Swarm Optimization Approach

10.1109/ispa-bdcloud-socialcom-sustaincom51426.2020.00117 ◽

2020 ◽

Author(s):

Linqing Zhai ◽

Zheming Yang ◽

Wen Ji

Keyword(s):

Large Scale ◽

Particle Swarm ◽

Optimization Approach ◽

Swarm Optimization ◽

Large Scale Systems ◽

Crowd Intelligence

Optimal Feature Selection based on Image Pre-processing using Accelerated Binary Particle Swarm Optimization for Enhanced Face Recognition

Procedia Engineering ◽

10.1016/j.proeng.2012.01.924 ◽

2012 ◽

Vol 30 ◽

pp. 750-758 ◽

Cited By ~ 8

Author(s):

M.U. Aneesh ◽

Abhishek A.K. Masand ◽

K. Manikantan

Keyword(s):

Feature Selection ◽

Face Recognition ◽

Particle Swarm ◽

Swarm Optimization ◽

Optimal Feature Selection ◽

Optimal Feature