This work proposes the application of a hybrid Particle Swarm Optimization (PSO) with Levenberg Marquardt Back-Propagation (LMBP) algorithm to train Artificial Neural Networks (ANNs) for classification of medium resolution multispectral satellite imageries. ANNs have been widely used in satellite image classification and have been shown to outperform traditional classifiers in many situations. However the Back Propagation (BP) algorithm traditionally used in training ANN suffer the problem of local minima entrapment, thus affecting the accuracy and performance of the ANN classifier. A hybrid combination of PSO and LMBP algorithm is applied to resolve the aforementioned problem and enhance the accuracy and performance of the ANN classifier. To investigate the performance of the proposed method, medium resolution multispectral satellite imagery was classified using the proposed classifier and its performance compared with that of conventional LMBP and Scaled Conjugate Back-Propagation (SCBP) trained ANN classifier. Results obtained shows that the hybrid PSO and LMBP trained ANN classifier out performs the conventional LMBP and SCBP trained ANN classifier and achieves ≈95% accuracy on the test medium resolution satellite imagery.
목차
Abstract 1. Introduction 2. Artificial Neural Networks 3. Particle Swarm Optimization 4. Hybrid PSO-LMBP Algorithms for Training FNN’s 4.1. Fitness Function 4.2. Encoding Function 4.3. Classification 5. Data 5.1. Pre-processing 6. Result and Discussion 7. Conclusion References
Atijosan A [ Cooperative Information Network, National Space Research and Development Agency, Obafemi Awolowo University Campus, Ile-Ife, Osun State, Nigeria ]
Badru R [ Cooperative Information Network, National Space Research and Development Agency, Obafemi Awolowo University Campus, Ile-Ife, Osun State, Nigeria ]
Babalogbon A [ Cooperative Information Network, National Space Research and Development Agency, Obafemi Awolowo University Campus, Ile-Ife, Osun State, Nigeria ]
Alaga T [ Cooperative Information Network, National Space Research and Development Agency, Obafemi Awolowo University Campus, Ile-Ife, Osun State, Nigeria ]
보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Hybrid Information Technology
간기
격월간
pISSN
1738-9968
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Hybrid Information Technology Vol.9 No.11