Cover page and Table of Contents: PDF (size: 1185KB)
Full Text (PDF, 1185KB), PP.29-38
Views: 0 Downloads: 0
Relative Edge Response, NIIRS, SNR, GSD, image quality
The quality of remote sensing satellite images are expressed in terms of ground sample distance, modular transfer function, signal to noise ratio and National Imagery Interpretability Rating Scale (NIIRS) by user community. The proposed system estimates NIIRS of an image, by incorporating a new automated method to calculate the Relative Edge Response (RER). The prominent edges which contribute the most for the estimation of RER are uniquely extracted with a combined application of certain filters and morphological operators. RER is calculated from both horizontal and vertical edges separately and the geometric mean is considered as the final result. Later applying the estimated RER along with other parameters, the system returns the NIIRS value of the input image. This work has proved the possible implementation of automated techniques to estimate the NIIRS from images and specifics in the metafile contents of imagery.
Pranav V, E.Venkateswarlu, Thara Nair, G.P.Swamy, B.Gopala Krishna," Estimation of NIIRS Incorporating an Automated Relative Edge Response Method", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.9, No.11, pp. 29-38, 2017. DOI: 10.5815/ijigsp.2017.11.04
Suresha D, H N Prakash, Data Content Weighing for Subjective versus Objective Picture Quality Assessment of Natural Pictures, I.J. Image, Graphics and Signal Processing, Vol. 2, pp.27-36, 2017
Taejung Kim, Hyunsuk Kim and HeeSeob Kim, Image-based estimation and validation of NIIRS for high resolution satellite images, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII, 2008.
Baishali Goswami, Santanu Kr.Misra, Analysis of various edge detection methods for x-ray images, International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016.
Mouad M. H. Ali, Pravin Yannawar and A. T. Gaikwad, Study of edge detection methods based on palmprint lines, International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016.
D. Poobathy, Dr. R. Manicka Chezian, Edge Detection Operators: Peak Signal to Noise Ratio Based Comparison, I.J. Image, Graphics and Signal Processing, Vol.10, pp.55-61, 2014.
Akansha Jain, Mukesh Gupta, S. N. Tazi, Comparison of edge detectors, International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014.
Andrej Ikica and Peter Peer, An improved edge profile based method for text detection in images of natural scenes, International Conference on Computer as a Tool (EUROCON), 2011.
Ryan Anderson, Nick Kingsbury, and Julien Fauqueur, Rotation-invariant object recognition using edge profile clusters, 14th European Signal Processing Conference, 2006.
Thirapiroon Thongkamwitoon, Hani Muammar, and Pier-Luigi Dragotti, An Image Recapture Detection Algorithm Based on Learning Dictionaries of Edge Profiles, IEEE Transactions on Information Forensics and Security, Vol.10, Issue:5, 2015.
Thirapiroon Thongkamwitoon, Hani Muammar and Pier Luigi Dragotti, Identification of image acquisition chains using a dictionary of edge profiles, 20th European .Signal Processing Conference (EUSIPCO), 2012.
Hyeon Kim, Dongwook Kim, Seungyong Kim and Taejung Kim, Analysis of the effects of image quality on digital map generation from satellite images, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B4, 2012.
Hua-mei Chen, Erik Blasch, Khanh Pham, Zhonghai Wang, and Genshe Chen, An investigation of image compression on NIIRS rating degradation through automated image analysis, Sensors and Systems for Space Applications IX, Vol. 9838, 983811, doi: 10.1117/12.2224631, 2016.
C. Jeremy Pye, J. A. Bangham, A fast algorithm for morphological erosion and dilation, 8th European Signal Processing Conference, 1996.
Muzni Sahar, Hanung Adi Nugroho, Tianur, Igi Ardiyanto and Lina Choridah, Automated Detection of Breast Cancer Lesions Using Adaptive Thresholding and Morphological Operation, International Conference on Information Technology Systems and Innovation (ICITSI), 2016.
Lin Li, Heng Luo and Haihong Zhu, Estimation of the Image Interpretability of ZY-3 Sensor Corrected Panchromatic Nadir Data, Remote Sens. Vol. 6, pp. 4409-4429; doi:10.3390/rs6054409, 2014.