DETECTION OF OBJECTS IN IMAGES USING AREA SELECTION
Author:
Affiliation:
1. «NPP «Radar mms» JSC, Russian Federation Saint Petersburg Electrotechnical University «LETI»
Publisher
CRI Electronics
Subject
General Medicine
Reference5 articles.
1. Cheng G., Han J. A survey on object detection in optical remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, no. 117, pp. 11–28.
2. Arias‑Castro E., Grimmett G.R. Cluster detection in networks using percolation. Bernoulli, 2013, vol. 19, no. 2, pp. 676–719.
3. Patil G.P., Taillie C. Upper level set scan statistic for detecting arbitrarily shaped hotspots. Environmental and Ecological Statistics, 2004, vol. 11, pp. 183–197.
4. Langovoy M., Wittich O. Randomized algorithms for statistical image analysis and site percolation on square lattices. Statistica Neerlandica, 2013, vol. 67, iss. 3, pp. 337–353.
5. Volkov V. Yu., Bogachev M.I., Markelov O.A. Multi‑threshold object selection in images in remote sensing systems. Radio industry (Russia), 2019, vol. 29, no. 2, pp. 76–88. (In Russian).
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