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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No. 1, pp. 246-253

Textural features research of space images of objects using wavelet analysis

L.G. Evstratova 1 , A.A. Antoshkin 2 
1 State University of Land Use Planning, Moscow, Russia
2 Space Research Institute RAS, Moscow, Russia
Accepted: 09.02.2024
DOI: 10.21046/2070-7401-2024-21-1-246-253
At present, when recognizing objects in images a quantitative analysis of their spectral-reflective properties is widely used. In turn, by involving textural features, which are one of the important natural and anthropogenic objects characteristics, it is possible to increase the reliability of interactive and automated image processing methods. Signal processing using wavelet analysis allows significant compressing of the information amount, discarding small details and highlighting its most significant features. The paper considers the task of detection changes on the ground from multi-temporal ultra-high spatial resolution satellite images using wavelet analysis without involving additional information on the example of fallow lands overgrowth with tree and shrub vegetation. Experimental research has been performed on test (textures from the Brodatz album) and real QuikBird and WorldView satellite images. Numerical experiments have confirmed the possibility of using the Daubechies wavelet transform coefficients as a textural feature for recognizing segments in images belonging to different natural objects. The obtained reliability level of determining the overgrowth contours for the studied territories shows the effectiveness of the described technique. The use of the obtained results in practice will significantly reduce the time spent on satellite images thematic processing over vast territories to localize abandoned arable land overgrowth with tree and shrub vegetation. This task is relevant for information support of monitoring the condition and use of agricultural land.
Keywords: satellite images, textural features, wavelet analysis, change detection
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