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Design of Machine Learning Techniques for Change Detection in Land Use Pattern

Team Members: AISHWARYA RAJ PANDEY, ANSHIKA NIGAM, ASHWANI KUMAR, KUHU GUPTA

Mentors: Mr. Amit Sinha, Mr. Suneet Gupta

Abstract

Multi-temporal images obtained from satellites are difficult to analyze. Therefore, the development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging task that remote sensing community will face in the coming years. Its importance and timeliness are directly related to the ever increasing quantity of multi-temporal data provided by the numerous remote sensing satellites that orbit our planet. The synergistic use of multi-temporal remote sensing data and advanced analysis methodologies results in the possibility of solving complex problems related to change detection.

The objective of this project is to build a full-fledged computer security system based on persuasive cued click points. Usable security has unique usability challenges because the need for security often means that standard human-computer-interaction approaches cannot be directly applied. The researchers of modern days have gone for alternative methods wherein graphical pictures are used as passwords. Graphical passwords essentially use images or representation of images as passwords. The major goal of this work is to reduce the guessing attacks as well as encouraging users to select more random and difficult passwords to guess.

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