Classification and detection of various geographical features from satellite imagery

Abstract

It is a challenging task to classify and detect various geographical features from the
satellite imagery of the Earth as well as the celestial bodies. This paper puts forward
several pixel based classification algorithms to classify geographical features from
the satellite images of the Earth. The recorded experimental results, from a total of
606 satellite images to classify miscellaneous geographical features, demonstrate that
the maximum algorithmic performances can approximate to 87%. This paper also
addresses a simple algorithm based on edge approximation and circular Hough transformation
to detect craters from the satellite imagery of celestial bodies. An online
available dataset to detect craters evaluates the performance of the algorithm. In general,
all the proposed algorithms are straightforward but in many ways effective.