Md. Arafat Hussain

Work place: Institute of Infromation Technology, University of Dhaka, Dhaka-1000, Bangladesh



Research Interests: Image Processing, Pattern Recognition, Natural Language Processing


Md. Arafat Hussain Completed Bachelor of Science in Software Engineering from Institute of Information Technology (IIT), University of Dhaka, Bangladesh in 2017. His area of interest in research is machine learning, image processing and pattern recognition

Author Articles
Remote Sensing Image Scene Classification

By Md. Arafat Hussain Emon Kumar Dey

DOI:, Pub. Date: 8 Jul. 2018

Remote sensing image scene classification has gained remarkable attention because of its versatile use in different applications like geospatial object detection, natural hazards detection, geographic image retrieval, environment monitoring and etc. We have used the strength of convolutional neural network in scene image classification and proposed a new CNN to classify the images. Pre-trained VGG16 and ResNet50 are used to reduce overfitting and the training time in this paper. We have experimented on a recently proposed NWPU-RESISC45 dataset which is the largest dataset of remote sensing scene images. This paper found a significant improvement of accuracy by applying the proposed CNN and also the approaches have applied.

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