УДК: 535.8
Using the target-visualization method to process hyperspectral images
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Publication in Journal of Optical Technology
Шереметьева Т.А., Филиппов Г.Н., Малов А.М. Применение метода целевой визуализации для обработки гиперспектральных изображений // Оптический журнал. 2015. Т. 82. № 1. С. 32–36.
Sheremetieva T.A., Filippov G.N., Malov A.M. Using the target-visualization method to process hyperspectral images [in Russian] // Opticheskii Zhurnal. 2015. V. 82. № 1. P. 32–36.
T. A. Sheremet’eva, G. N. Filippov, and A. M. Malov, "Using the target-visualization method to process hyperspectral images," Journal of Optical Technology. 82(1), 24-27 (2015). https://doi.org/10.1364/JOT.82.000024
The target-visualization method is intended to optimize the process of interpreting hyperspectral images with the user’s interactive participation. This method is a development of the method of visualizing the measure of similarity to a reference and is based on the transformation of a multichannel image into a single-channel one. As a result of the transformation, the value of an attribute (the decision function, defined in terms of the spectral characteristics) is visualized and is used in the interpretation. Such a transformation makes it possible to interactively correct the results of automatic processing simply by changing the brightness range. This paper demonstrates for the first time the combined use of automatic segmentation and target visualization. The possibilities of the method are illustrated, using as an example the solution of problems of contour processing of hyperspectral images and the recognition of objects with indistinctly specified spectral characteristics.
hyperspectral images, multichannel images visualization, image transformation
OCIS codes: 100.2000, 100.2960, 100.2980, 3000.30930
References:1. C. L. Wiegand, A. J. Richardson, D. E. Escobar, and A. H. Gerbermann, “Vegetation indices in crop assessments,” Remote Sens. Environ. No. 2-3, 105 (1991).
2. T. A. Sheremet’eva and G. N. Filippov, “Method of converting images,” Russian Patent No. 2,267,232 (2005).
3. T. A. Sheremet’eva, G. N. Filippov, and A. M. Malov, “Methods and program processing multispectral and hyperspectral imaging,” in Abstracts of Reports of the International Symposium of the Countries of the CIS on Atmospheric Radiation and Dynamics (MCAP–2013), St. Petersburg, 24–28 June 2013, p. 43.
4. B. Jähne, Digital Image Processing (Springer, Berlin, 2005; Tekhnosfera, Moscow, 2007).