A Comparison of Spectral Angle Mapper and Artificial Neural Network Classifiers Combined with Landsat TM Imagery Analysis for Obtaining Burnt Area Mapping

Landsat Tm ◽

Burnt Area ◽

Spectral Angle Mapper ◽

Artificial Neural ◽

Neural Network Classifiers ◽

Landsat Tm Imagery ◽

Spectral Angle

Comparison of support vector machine, artificial neural network, and spectral angle mapper algorithms for crop classification using LISS IV data

International Journal of Remote Sensing ◽

10.1080/2150704x.2015.1019015 ◽

2015 ◽

Vol 36 (6) ◽

pp. 1604-1617 ◽

Cited By ~ 57

Author(s):

Pradeep Kumar ◽

Dileep Kumar Gupta ◽

Varun Narayan Mishra ◽

Rajendra Prasad

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Support Vector ◽

Spectral Angle Mapper ◽

Crop Classification ◽

Artificial Neural ◽

Spectral Angle

Hybridized artificial neural network classifiers with a novel feature selection procedure based genetic algorithms and information complexity in credit scoring

Applied Stochastic Models in Business and Industry ◽

10.1002/asmb.2614 ◽

2021 ◽

Author(s):

Damla Ilter ◽

Eylem Deniz ◽

Ozan Kocadagli

Keyword(s):

Neural Network ◽

Genetic Algorithms ◽

Feature Selection ◽

Credit Scoring ◽

Selection Procedure ◽

Information Complexity ◽

Artificial Neural ◽

An Automated Artificial Neural Network System for Land Use/Land Cover Classification from Landsat TM Imagery

Remote Sensing ◽

10.3390/rs1030243 ◽

2009 ◽

Vol 1 (3) ◽

pp. 243-265 ◽

Cited By ~ 60

Author(s):

Hui Yuan ◽

Cynthia Van Der Wiele ◽

Siamak Khorram

Keyword(s):

Neural Network ◽

Land Use ◽

Land Cover ◽

Land Cover Classification ◽

Landsat Tm ◽

Network System ◽

Land Use Land Cover ◽

Neural Network System ◽

Landsat Tm Imagery

IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development ◽

A classification of multitemporal Landsat TM data using principal component analysis and artificial neural network

10.1109/igarss.1997.615930 ◽

2002 ◽

Cited By ~ 2

Author(s):

H.S. Chae ◽

S.J. Kim ◽

J.A. Ryu

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Landsat Tm ◽

Artificial Neural

Use of bootstrap samples in designing artificial neural network classifiers

Proceedings of ICNN'95 - International Conference on Neural Networks ◽

10.1109/icnn.1995.489001 ◽

2002 ◽

Cited By ~ 1

Author(s):

Y. Mitani ◽

Y. Hamamoto ◽

S. Tomita

Keyword(s):

Neural Network ◽

Artificial Neural ◽

Performance analysis of K-nearest neighbor, support vector machine, and artificial neural network classifiers for driver drowsiness detection with different road geometries

International Journal of Distributed Sensor Networks ◽

10.1177/1550147717733391 ◽

2017 ◽

Vol 13 (9) ◽

pp. 155014771773339 ◽

Cited By ~ 11

Author(s):

Zhenlong Li ◽

Qingzhou Zhang ◽

Xiaohua Zhao

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Performance Analysis ◽

Nearest Neighbor ◽

Support Vector ◽

K Nearest Neighbor ◽

Driver Drowsiness ◽

Artificial Neural ◽

On the behavior of artificial neural network classifiers in high-dimensional spaces

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/34.494648 ◽

1996 ◽

Vol 18 (5) ◽

pp. 571-574 ◽

Cited By ~ 23

Author(s):

Y. Hamamoto ◽

S. Uchimura ◽

S. Tomita

Keyword(s):

Neural Network ◽

High Dimensional ◽

Artificial Neural ◽

Supervised ART-I Artificial Neural Network for Mapping Burned Area Using Landsat TM Images

International Journal of Science and Applied Information Technology ◽

10.30534/ijsait/2019/208620198 ◽

2019 ◽

Vol 8 (6) ◽

pp. 132-137

Author(s):

Kamal R. AL-Rawi

Keyword(s):

Neural Network ◽

Landsat Tm ◽

Burned Area ◽

Artificial Neural

Temporal Factors of EEG and Artificial Neural Network Classifiers of Mental Workload

PsycEXTRA Dataset ◽

10.1037/e572172013-040 ◽

2012 ◽

Author(s):

B. N. Penaranda ◽

Carryl L. Baldwin

Keyword(s):

Neural Network ◽

Mental Workload ◽

Temporal Factors ◽

Artificial Neural ◽

Retrieving seawater turbidity from Landsat TM data by regressions and an artificial neural network

International Journal of Remote Sensing ◽

10.1080/01431160410001655921 ◽

2004 ◽

Vol 25 (21) ◽

pp. 4593-4615 ◽

Cited By ~ 12

Author(s):

T. Y. Gan ◽

O. A. Kalinga ◽

K. Ohgushi ◽

H. Araki

Keyword(s):

Neural Network ◽

Landsat Tm ◽

Artificial Neural