CHAPTER 32
Detection of Disaster Affected Regions Using Drone-assisted Deep Learning Model
Nikhil Singh, Amitosh Banerjee, Swadhin Bhowmick, Sneha Chakraborty, and Amartya Mukherjee
Institute of Engineering and Management, Kolkata, India.
ABSTRACT: Monitoring of disasters is crucial for mitigating their effects on the environment and human population, and can be facilitated by the use of unmanned aerial vehicles (UAV), equipped with camera sensors that produce aerial photos of the areas of interest. A modern technique for recognition of events based on aerial photos is deep learning. In this chapter, we present the state of the art work related to the use of deep learning techniques for disaster identification. We demonstrate the potential ...
