Adaptive procedure of RS images classification with use of extended feature space
| Parent link: | Proceedings SPIE.— , 2003 Vol. 4885.— 2003.— P. 489-500 |
|---|---|
| מחברים אחרים: | , , , |
| סיכום: | The paper proposes an adaptive classification procedure (ACP) making the process of remotely sensed (RS) data classification more flexible and efficient in comparison with existing recognition methods. The ACP employs an improved scheme of forming feature space and adaptive decision rule allowing an optimal imagery classification method to be chosen during thematic processing. In the paper the basic principles of the ACP design and the results of classification method efficiency research are considered. Also the results of the ACP application for solving problems of landscape-ecological mapping of the Lake Chani area (Omsk region, Russia) and Pervomayskoe oil field (Tomsk region, Russia) using multispectral images from Russian satellite RESURS-01 are shown. В фонде НТБ ТПУ отсутствует |
| שפה: | אנגלית |
| יצא לאור: |
2003
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| נושאים: | |
| פורמט: | Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=595496 |
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| 101 | 0 | |a eng | |
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| 200 | 1 | |a Adaptive procedure of RS images classification with use of extended feature space |f N. G. Markov [et al.] | |
| 330 | |a The paper proposes an adaptive classification procedure (ACP) making the process of remotely sensed (RS) data classification more flexible and efficient in comparison with existing recognition methods. The ACP employs an improved scheme of forming feature space and adaptive decision rule allowing an optimal imagery classification method to be chosen during thematic processing. In the paper the basic principles of the ACP design and the results of classification method efficiency research are considered. Also the results of the ACP application for solving problems of landscape-ecological mapping of the Lake Chani area (Omsk region, Russia) and Pervomayskoe oil field (Tomsk region, Russia) using multispectral images from Russian satellite RESURS-01 are shown. | ||
| 333 | |a В фонде НТБ ТПУ отсутствует | ||
| 461 | |t Proceedings SPIE |d 2003 | ||
| 463 | |t Vol. 4885 |o Image and Signal Processing for Remote Sensing VIII : 24-27 September 2002, Agia Pelagia, Crete, Greece |v P. 489-500 |d 2003 | ||
| 610 | 1 | |a труды учёных ТПУ | |
| 701 | 1 | |a Markov |b N. G. |c Doctor of Engineering, Professor of TPU |c Russian specialist in Informatics and Computing |f 1950- |g Nikolai Grigorevich |3 (RuTPU)RU\TPU\pers\24811 |9 11026 | |
| 701 | 1 | |a Napryushkin |b A. A. | |
| 701 | 1 | |a Zamyatin |b A. V. |c Specialist in the field of informatics and computer technology |c Associate Professor of Tomsk Polytechnic University, Doctor of technical sciences |f 1978- |g Aleksander Vladimirovich |3 (RuTPU)RU\TPU\pers\31673 | |
| 701 | 1 | |a Vertinskaya |b E. V. | |
| 801 | 1 | |a RU |b 63413507 |c 20091021 | |
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