Cuckoo Search Optimization for the Classification of Remote Sensing Image Processing
- Resource Type
- Conference
- Authors
- Shivakanth, Gandla; Tanwar, Prakash Singh
- Source
- 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) Artificial Intelligence and Smart Systems (ICAIS), 2021 International Conference on. :1043-1047 Mar, 2021
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Clustering algorithms
Propulsion
Sensors
Particle swarm optimization
Remote sensing
Optimization
Matlab
MATLAB
Segmentation
CS
Image Processing
Remote Sensing.
- Language
Clustering algorithm will have the potential to do everything with the intention of DBSCAN can have the ability to do which is not accessible. Frequently several latest clustering algorithms will be emerged. In modern days, DBSCAN has been altered in a great way which is utilized to obtain a trendy process to evaluate EPS (threshold distance). Cuckoo Search Algorithm is propelled by the flying creature cuckoo species in nature. This calculation is utilized for the constant issues and NP-difficult issues. This calculation is tried by the numerous analysts on some benchmark capacities and contrasted and different calculations like PSO (Practical Swarm Optimization) and GA(Genetic Algorithms), and the arrangements acquired for cuckoo search calculation is superior to anything different calculations like PSO and GA.