Abstract
Artificial intelligence is the blessing to modern computer science which deals with making a machine intelligent. Many technologies are rising rapidly with the evolution of AI. Machine learning and deep learning has become two powerful AI technologies, widely used in research field. Deep learning is a revolution in the field of image processing which can became a popular method for research in current decade. Deep learning can be easily implemented on medical image analysis, under water image analysis, remote sensing images for detection and classification. This paper aims to design a modified convolutional neural network model for classification using RSSCN7 image dataset. The result of the classification is shown with a confusion matrix which indicates the classification performance.
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Sahu, S.R., Panda, S. (2022). A Deep Learning-Based Classifier for Remote Sensing Images. In: Nayak, J., Behera, H., Naik, B., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Data Mining. Smart Innovation, Systems and Technologies, vol 281. Springer, Singapore. https://doi.org/10.1007/978-981-16-9447-9_24
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DOI: https://doi.org/10.1007/978-981-16-9447-9_24
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