Connected Component Based Segmentation Technique for Vehicles Detection from High Resolution Satellite Images
C. Sujatha1, N. M. Masoodhu Banu2, S. Karthigai Lakshmi3

1Dr. C. Sujatha, Associate Professor, Department of ECE, SSM Institute of Engineering and Technology, Dindigul (Tamil Nadu), India.
2Dr. N. M. Masoodhu Banu, Professor & Head, Department of ECE, Vel Tech Dr. Sagunthala Research Institute of Science and Technology, Chennai (Tamil Nadu), India.
3Dr. S. Karthigai Lakshmi, Professor & Head, Department of ECE, SSM Institute of Engineering and Technology, Dindigul (Tamil Nadu), India.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 4-7 | Volume-8 Issue-5, March 2019 | Retrieval Number: D2719028419/19©BEIESP
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Abstract: Satellite images are used for various applications like geographical, weather and geological applications. The forecasters used the low-resolution satellite images to predict the atmospheric changes. The high resolution satellite images are used in more applications especially for object segmentation and detection. The research on the high resolution satellite image is a challenging task. Less research is performed on high resolution satellite imagery as it is a challenging task. Traffic monitoring is a challenging task in developing countries. Automatic vehicle detection is very much useful for the traffic monitoring system. Vehicle images appear in miniature size in high resolution satellite images which is very difficult to extract from the images. Many researchers are working in these areas for the past few decades and most of the research is based on various types of sensor data. In sensor images, complete road network cannot be captured. In this paper, automatic detection of vehicles from high resolution satellite is proposed. Connected component based algorithm for automatic vehicle detection in high resolution satellite images is proposed in this paper.
Keyword: Adaptive Global Thresholding, Connected Component Analysis, Morphological Operator, Vehicle Detection.
Scope of the Article: Search-Based Software Engineering