ABSTRACT
Defocusing is an undesirable phenomenon in remote sensing. Defocusing arises due to the platform motion irregularity or the target motion. The focusing techniques in the literature either need the imaging parameters to compensate for the motion aberrations or a large dataset of defocused, focused images to model the phase errors. This paper proposes a focusing technique called convolution technique that uses only the blurred image data to focus it. The experimental results on the inverse synthetic aperture (ISAR) dataset show that the proposed technique achieved better entropy and contrast than state-of-the-art methods. The execution time of the proposed technique on NVIDIA Jetson Tx2 device is 182.9 msec. Hence, the convolution technique can be used for real-time applications.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
Palguna Kumar Reddy Gopireddy
Palguna Kumar Reddy Gopireddy is a Ph.D. scholar in the Department of Electronics and Communication Engineering at the National Institute of Technology Warangal (NITW), Warangal, India, 506004. Mr. Palguna is researching on Image Processing and Classification of Inverse Synthetic Aperture Radar using computational intelligence. He has published one Journal and one Conference paper. Email: [email protected]
Arun Kumar Gande
Dr. Arun Kumar Gande is an assistant professor in the Department of Electronics and Communication Engineering at National Institute of Technology Warangal (NITW), Warangal, India, 506004. His research interests include simulation, modelling, and design of millimetre wave active and passive circuits, MMIC design, metamaterials, time-modulated components, and substrate-integrated waveguide circuits. Dr. Arun has published 21 Journals, and 41 Conferences and has two Book Chapters in his name. Email: [email protected].
Gopi Ram
Dr. Gopi Ram is an assistant professor in the Department of Electronics and Communication Engineering at National Institute of Technology Warangal (NITW), Warangal, India, 506004. His research interests include Analysis and Synthesis of Radiation patterns of Time-Modulated Antenna Array Structures, Evolutionary Optimization Techniques, Application of Soft Computing in Electromagnetics, RF and Microwave, Soft Computing Techniques. He has published more than 80 research papers in peer-reviewed International Journals and Conferences. Email: [email protected].
Farukh Hashmi Mohammad
Dr. Farukh Hashmi Mohammad is an assistant professor in the Department of Electronics and Communication Engineering at National Institute of Technology Warangal (NITW), Warangal, India, 506004. His research interests include computer vision, machine vision, machine learning, deep learning, embedded systems, internet of things, digital signal processing, image processing, and digital IC design. He has published up to 75 articles in International/National Journals/Conferences. Email: [email protected].