Performance analysis of a FSO link considering different atmospheric turbulence

Free space optical (FSO) technology is a quick-to-deploy and economical way of getting access to the fiber optic network. FSO technology not only offers fiber-quality connections, but it also offers the sector’s cheapest transmission capacity. FSO systems complement legacy network commitments and function in harmony with any protocol, saving significant up-front investments as a completely protocol-independent broadband gateway. An FSO link may be purchased and deployed at a fraction of the cost of installing fiber cable and for roughly half the cost of equivalent microwave/RF wireless systems. With exception of RF wireless technologies, FSO does not need the purchase of expensive spectrum licenses or the fulfillment of additional regulatory criteria. The purpose of this study is to examine the performance of FSO-based optical access networks. Analysis of the performance in detail, with a focus on BER is also described

Study on Advanced Image Processing Techniques for Remote Sensor Data Analysis

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