Real-time image processing method to implement object detection and classification for remote sensing images

The huge amount of active research has been focused on developing the remote sensing based applications for providing the object classification procedure focusing on the energy reflected on the earth surface, the remote sensor collects data and its management with analysis of all kinds of spatial in...

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Bibliographic Details
Published in:Earth science informatics 2020-12, Vol.13 (4), p.1065-1077
Main Authors: J, Joshua Bapu, Florinabel, D. Jemi
Format: Article
Language:English
Subjects:
Classification
Earth and Environmental Science
Earth Sciences
Earth surface
Earth System Sciences
Extraction procedures
Feature extraction
Image classification
Image enhancement
Image processing
Information Systems Applications (incl.Internet)
Object recognition
Ontology
Real time
Remote sensing
Remote sensors
Research Article
Simulation and Modeling
Space Exploration and Astronautics
Space Sciences (including Extraterrestrial Physics
Spatial data
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Summary:The huge amount of active research has been focused on developing the remote sensing based applications for providing the object classification procedure focusing on the energy reflected on the earth surface, the remote sensor collects data and its management with analysis of all kinds of spatial information with enhanced accuracy. This paper proposes the Real-time Image processing method to implement the object classification and detection (RTIP-ODC) technique for remote sensing images. The enhanced feature extraction procedure likes preprocessing, object detection, classification and validation will improve the efficiency of the proposed technique. The classification method facilitates the user to preserve the process of object classification and enhances the accurate object detection. The proposed technique has obtained the enhanced performance to ensure the efficiency of the object classification compared to the related techniques.
ISSN:1865-0473
1865-0481
DOI:10.1007/s12145-020-00486-1