Wildfire Detection Based on Satellite Information Processing Using Convolutional Neural Network

Abstract

The exponential growth in satellite data availability and the need for more advanced processing methods have led to significant advancements in satellite information processing in recent years. This article provides a comprehensive review of the current trends and future directions in satellite information processing. Various processing techniques are employed for satellite imagery and remote sensing data. This includes preprocessing steps such as radiometric and geometric correction, as well as advanced processing methods like image classification, change detection, and feature extraction. In conclusion, satellite information processing is a multifaceted domain encompassing various techniques and applications critical for modern society. Understanding and advancing these processing methods are essential for harnessing the full potential of satellite data in addressing global challenges and fostering innovation across industries.