A Review on Feature Descriptors for Remote Sensing Image Retrieval
Dhanraj R. Dhotre, Gajendra R. Bamnote, Manisha R. Amalkar · International Journal Of Scientific Research And Education · 2016
This paper presents the review on results ofapplication of feature descriptors for remote sensing image retrieval. The circular covariance histogram and the rotation-invariant point triplets potential are explored here as a multi-scale texture descriptors. In remote sensing images, the availability of images containing a significantly higher amount of spatial and spectral details has Cover (a piece of ground) with flat stones or bricks; the way for new applications (e.g., hyper spectral target detection, compound object recognition, etc.) and new commercial products and it has enabled the use of a wider range of image analysis methods. On the other hand, the rapid accumulation of gigabytes worth of remote sensing data on a daily basis has provide robust and automated tools, which was designed for their management, search, and retrieval, as essential for their effective exploitation.