JOURNAL ARTICLE

Feature Extraction and Content Based Image Retrieval for High Resolution Remote Sensing Images

T Naga RajuSuneetha Chittineni

Year: 2019 Journal:   International Journal of Recent Technology and Engineering (IJRTE) Vol: 8 (3)Pages: 8877-8880

Abstract

These are the days where we are very rich in information and poor in data. This is very true in case of image data. Whether it is the case of normal images or satellite images, the image collection is very huge but utilizing those images is of least concern. Extracting features from big images is a very challenging and compute intensive task but if we realize it, it will be very fruitful. CBIR (Content Based Image Retrieval) when used with HRRS (High Resolution Remote Sensing) images will yield with effective data.

Keywords:
Computer science Content-based image retrieval Image retrieval Feature extraction Image (mathematics) Remote sensing Artificial intelligence Feature (linguistics) Computer vision High resolution Task (project management) Pattern recognition (psychology) Geography Engineering

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Topics

Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Computational Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

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