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Multi class classification of satellite images
- Source :
- 2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA).
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- Classification is a well known of the significant tools used to recognize and examine most sharp information in images. Satellite image processing has become popular in these days because of benefits that those are giving. In any remote sensing particularly, the decision-making way mainly rely on the efficiency of the classification process. Image classification was performed generally and the classification accuracy was assessed. Here we have explained a healthy procedure to calculate all the parameters of five class classification model for satellite image classification with confusion matrix.
- Subjects :
- Contextual image classification
Computer science
business.industry
0211 other engineering and technologies
Satellite image classification
Process (computing)
Confusion matrix
02 engineering and technology
Class (biology)
Multiclass classification
ComputingMethodologies_PATTERNRECOGNITION
Microwave imaging
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
Satellite
Artificial intelligence
business
021101 geological & geomatics engineering
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
- Accession number :
- edsair.doi...........4439c78f0e8e3e9e24281da7d1dfa0c7
- Full Text :
- https://doi.org/10.1109/icimia.2017.7975545