Study on Advanced Image Processing Techniques for Remote Sensor Data Analysis

Abstract

Image processing is the act of altering photographs with arithmetic computations for a variety of objectives including erasing clean lines, dividing groups of objects, noise removal from photos, detecting edges, and so on. Remote sensing is a method for observing the planet's surface or environment through satellites or from the air (via airplanes). Electromagnetic radiation reflected or radiated by the earth's surface is recorded using this approach. Numerous techniques and technologies can be used in remote sensing to monitor electromagnetic waves of different wave lengths, including visual, infrared, heat infrared, and so forth. In this study, digital cameras are utilized to acquire photos in the visible range and then used advanced image processing and filtering algorithms to the raw data. Homomorphic filtering, median filtering, Gaussian filtering, histogram-based thresholding, contrast stretching, and other techniques are used. The results of this research will be valuable for enhanced picture analysis