Showing posts with label Radar. Show all posts
Showing posts with label Radar. Show all posts

Thursday, 25 May 2023

Techniques Used in Estimation of Radar Range, Radar Cross Section and Moving Targets | Chapter 6 | Research Highlights in Science and Technology Vol. 2

 Radar scheme proves expected a boon for the military based uses in detecting the enemies and labeling their locations on map. The current advancement in bureaucracy includes applications to a degree air traffic control and detached sensing.The paper will provide an reasoning of Radar Signal Processing to detect the range of the goals, radar representative sample and direction finding. It includes that goal is stationary under depressed noise condition and high explosion conditions, sonar is stationary while the target is mobile under the influence of cacophony, interference and clutter. Another very important limit being identified is Radar Cross Section (RCS) utilizing approximate method for detecting the aim. In this research, Signal processing methods are likely for the detection of fixed and moving targets. These approximate patterns are less time absorbing then the exact techniques of mark imaging.Various experiments have happened simulated using MATLAB and simulink.

Author(s) Details:

Manisha Khulbe,
Netaji Subhas University of Technology, Dwarka, Delhi, India.

Please see the link here: https://stm.bookpi.org/RHST-V2/article/view/10611

Wednesday, 6 May 2020

Satellite Based Oil Spill Monitoring and Detection in Oceanic World Using Adaptive Threshold Techniques: Advanced Study | Chapter 11 | International Research in Environment, Geography and Earth Science Vol. 1

In this paper an adaptive threshold Techniques has been used which aimed to solve problem of oil spills in oceanic world. As we know oil spill is the biggest issue faced by marine species to overcome this problem an adaptive threshold method is applied for automatic monitoring and detection of oil spills in the ocean. This research is implemented using SAR RADARSAT-2 Narrow single beam data acquired in the Gulf of Mexico SAR image. The study demonstrates occurrence of oil spill in the ocean using image data obtained from the different satellite and detection of dark patches and bands in the images with low time complexity. In conclusion, adaptive threshold can be used as a tool for automatic detection of oil spill and SAR satellite image serves as an excellent sensor for oil spill detection and surveying.

Author (s) Details

Dr. Mukta Jagdish
Department of Computer Science and Engineering, Oil spill Disaster Management, Port Blair, Andaman and Nicobar Islands, India.

View Book :-  http://bp.bookpi.org/index.php/bpi/catalog/book/169