Feasibility study of analyzing the semantic content of satellite images using Quantum kernels

The rapid advancement in satellite technology has led to an exponential increase in the volume of satellite images. Analyzing the semantic content of these images is a challenging task due to the high dimensionality and complexity of the data. Traditional kernel methods, while effective, suffer from quadratic algorithmic complexity and significant time overhead in kernel computation. This proposal aims to explore the feasibility of using quantum kernels to overcome these challenges. By harnessing the quantum technology, we hope to improve our understanding of Earth from space, leading to better environmental monitoring and disaster response.

Faculty Supervisor:

Rakesh Mishra

Student:

Partner:

Indian Institute of Technology Guwahati

Discipline:

Earth science

Sector:

Quantum Science

University:

University of New Brunswick

Program: