In the field of aerospace, when the aerial images are used for object extraction, due to the existence of objective factors, the sharpness or readability of the object in the aerial image is greatly decreased. Therefore, after the aerial images are obtained, it is necessary to perform noise reduction or enhancement processing on the characteristic edges of the region of interest in the image. Based on the unsharp masking filter, a local adaptive enhancement method is proposed in order to improve the quality of aerial images. The method is improved on the basis of particle swarm and it can improve the readability of the feature information of the region of interest and the visual quality of the image, which can provide some references for the research of automatic segmentation algorithm of aerial image object and the extraction technology of aerial image object.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research on Local Adaptive Enhancement of Aerial Images Based on Particle Swarm Optimization


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Yu, Xiang (Herausgeber:in) / Wang, Heng (Autor:in) / Wang, Xin (Autor:in) / Wang, Jun (Autor:in) / Wu, Xiaorui (Autor:in) / Pan, Mingjian (Autor:in) / Xue, Zhichao (Autor:in) / Qiu, Changquan (Autor:in)


    Erscheinungsdatum :

    2021-10-30


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Adaptive Range Particle Swarm Optimization

    Kitayama, S. / Yamazaki, K. / Arakawa, M. et al. | British Library Conference Proceedings | 2006


    Stable adaptive particle swarm optimization

    Djaneye-Boundjou, Ouboti / Ordonez, Raul / Gazi, Veysel | BASE | 2013

    Freier Zugriff

    Adaptive Range Particle Swarm Optimization

    Kitayama, Satoshi / Yamazaki, Koetsu / Arakawa, Masao | AIAA | 2006