Processing of remote sensing data for detection and recognition of object classes
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| 1Kravtsov, SL, 1Oreshkina, LV 1The United Institute of Informatics Problems of National Academy of Sciences of Belarus, Minsk, Belarus |
| Kosm. nauka tehnol. 2004, 10 ;(5-6):175-177 |
| https://doi.org/10.15407/knit2004.05.175 |
| Publication Language: Russian |
Abstract: We developed a procedure for detection and recognition of object classes on the basis of contours, squares and brightness of objects on remote sensing images. We consider some features of detection of objects in relation to their location on terrestrial and water surfaces and to a kind of remote sensing data.
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References:
1. Kravtsov S. L. Recognizing object classes by their contour representation // Digital processing of images. In: Digital image processing: Sb. nauch. tr., Is. 5, 170—177 (In-t tehn. kibernetiki NAN Belarusi, Minsk, 2001) [in Russian]. 2. Kravtsov S. L., Mukho I. N. Recognizing classes of objects located in a uniform image area. In: Analiz cifrovyh izobrazhenij: Sb. nauch. tr., Is. 1, 79—84 (OIPI NAN Belarusi, Minsk, 2002) [in Russian]. 3. Kravtsov S. L., Oreshkina L. V. Detection and recognition of object classes on remote sensing images. In: Pervyj belorusskij kosmicheskij congress: Materialy kongressa, October 28—30, 2003, Ob#edinennyj in-t problem informatiki NAN Belarusi, 140—142 (Minsk, 2003) [in Russian]. 4. Kravtsov S. L., Oreshkina L. V. Recognizing object classes on remote sensing images. In: Analiz cifrovyh izobrazhenij: Sb. nauch. tr., Is. 2, 84—96 (Ob#edinennyj in-t problem informatiki NAN Belarusi, Minsk, 2003) [in Russian].