zhpsЖурнал прикладной спектроскопииZhurnal Prikladnoii Spektroskopii0514-7506B. I. Stepanov Institute of Physics of the National Academy of Scienceszhps-630Research ArticleАННОТАЦИИ АНГЛОЯЗЫЧНЫХ СТАТЕЙABSTRACTS ENGLISH-LANGUAGE ARTICLESМЕТОД ОЦЕНКИ ЧИСЛА СМЕШАННЫХ СПЕКТРАЛЬНЫХ КОНЕЧНЫХ ЭЛЕМЕНТОВ НА ОСНОВЕ РАСШИРЕННОГО АЛГОРИТМА ПРОСТРАНСТВЕННОГО СПЕКТРАЛЬНОГО СОГЛАСОВАНИЯMETHOD FOR ESTIMATING THE NUMBER OF MIXED SPECTRAL ENDMEMBERS BASED ON FEATURE-ENHANCED SPATIAL SPECTRAL MATCHING ALGORITHMLiQ.LiQingbo

округ Хайдянь, Пекин, 100191

School of Instrumentation and Optoelectronic Engineering, Precision Opto-Mechatronics Technology Key Laboratory of Education Ministry, Haidian District

qbleebuaa@buaa.edu.cnWangQ.WangQi

округ Хайдянь, Пекин, 100191

School of Instrumentation and Optoelectronic Engineering, Precision Opto-Mechatronics Technology Key Laboratory of Education Ministry, Haidian District

ShiSh.ShiShaolin

округ Хайдянь, Пекин, 100191

School of Instrumentation and Optoelectronic Engineering, Precision Opto-Mechatronics Technology Key Laboratory of Education Ministry, Haidian District

Университет БейханBeihang University202008052020872350(1)-350(7)Copyright © Li Q., Wang Q., Shi S., 20202020Li Q., Wang Q., Shi S.Li Q., Wang Q., Shi S.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://zhps.ejournal.by/jour/article/view/630

Предлагается алгоритм согласования кривой степенного спектрального распределения, основанный на характеристиках компонентов космической цели. Средняя точность предложенного алгоритма выше, чем алгоритмов Харсаньи–Фарранда–Чанга и Хайсима. Эксперименты проводились для случая, когда число смешиваемых спектральных полос достаточно мало. Результаты показывают, что число конечных спектральных элементов может быть оценено точно в пределах от трех до восьми. Алгоритм пригоден для оценки числа конечных спектральных элементов космической цели.

Based on the characteristics of space target components, this paper proposes a spectral in-degree distribution curve-matching algorithm. Simulation experiments showed the average accuracy of the proposed algorithm is improved in comparison with the Harsanyi–Farrand–Chang and HySime algorithms. The simulation experiments were performed for a case in which the number of mixed spectral bands was reasonably small. The results showed the number of endmembers could be estimated accurately when the number of endmembers was three to eight. The algorithm proposed in this paper is suitable for estimating the number of endmembers of a space target.

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The authors declare that there are no conflicts of interest present.