Paper
2 May 2016 An improved algorithm for de-striping of ocean colour monitor imageries aided by measured sensor characteristics
Ashutosh Dutt, Ashish Mishra, D. R. Goswami, A.S. Kiran Kumar
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Abstract
The push-broom sensors in bands meant to study oceans, in general suffer from residual non uniformity even after radiometric correction. The in-orbit data from OCM-2 shows pronounced striping in lower bands. There have been many attempts and different approaches to solve the problem using image data itself. The success or lack of it of each algorithm lies on the quality of the uniform region identified. In this paper, an image based destriping algorithm is presented with constraints being derived from Ground Calibration exercise. The basis of the methodology is determination of pixel to pixel non-uniformity through uniform segments identified and collected from large number of images, covering the dynamic range of the sensor. The results show the effectiveness of the algorithm over different targets. The performance is qualitatively evaluated by visual inspection and quantitatively measured by two parameters.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ashutosh Dutt, Ashish Mishra, D. R. Goswami, and A.S. Kiran Kumar "An improved algorithm for de-striping of ocean colour monitor imageries aided by measured sensor characteristics", Proc. SPIE 9881, Earth Observing Missions and Sensors: Development, Implementation, and Characterization IV, 98811O (2 May 2016); https://doi.org/10.1117/12.2228072
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Image sensors

Calibration

Image segmentation

Image processing

Data modeling

Detection and tracking algorithms

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