ROBUST & HYBRID FEATURE DESCRIPTION FOR OBJECT DETECTION IN THE OCEAN IMAGERY
Journal: International Journal of Computer Science and Mobile Applications IJCSMA (Vol.6, No. 2)Publication Date: 2018-02-28
Authors : Bhawanpreet Kaur; Khushbu Cheetu;
Page : 95-99
Keywords : Object detection; object recognition; Oceanography; Satellite Imagery; Deep Learning;
Abstract
In the latest accident, missing Malaysian aero plane (which went missing on the oceans) can't be spotted by the satellites yet. This shows the lack in the technology of spotting the objects and marking the debris from the satellite images. The remote sensography techniques are always efficient in making the detection of such objects quite efficient. There are a number of objects, which kept floating in the oceans, for example, containers dropped from ships, garbage dropped by ships, objects dragged to the oceans by natural hazards like tsunami, twister, etc. The image segmentation can be combined with the object based and pixel based approaches in order to create a new hybrid approach to spot and analyze the objects floating in the oceans using the high quality satellite images.
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Last modified: 2018-02-24 20:44:54