دورية أكاديمية

Multiple Sub-Pixel Target Detection for Hyperspectral Imaging Systems

التفاصيل البيبلوغرافية
العنوان: Multiple Sub-Pixel Target Detection for Hyperspectral Imaging Systems
المؤلفون: Addabbo P., Fiscante N., Giunta G., Orlando D., Ricci G., Ullo S. L.
المساهمون: Addabbo, P., Fiscante, N., Giunta, G., Orlando, D., Ricci, G., Ullo, S. L.
سنة النشر: 2023
المجموعة: Università del Salento: CINECA IRIS
مصطلحات موضوعية: Adaptation model, Detection, Detector, generalized likelihood ratio test, Hyperspectral imaging, maximum likelihood estimation, Object detection, Reflectivity, Spatial resolution, sub-pixel target
الوصف: Hyperspectral target detection is a task of primary importance in remote sensing since it allows for location and discrimination of target features. To this end, the reflectance maps, which contain the spectral signatures and related abundances of the materials in the observed scene, are often used. However, due to the low spatial resolution of most hyperspectral sensors, targets occupy a fraction of the pixel and, hence, the spectra of different sub-pixel targets (including the background spectrum) are mixed together within the same pixel. To solve this issue, in this paper, we adopt a generalized replacement model accounting for multiple sub-pixel target spectra and formulate the detection problem at hand as a binary hypothesis test where under the alternative hypothesis the target is modeled in terms of a linear combination of endmembers whose coefficients also account for the presence of the background. Then, we devise detection architectures based upon the generalized likelihood ratio test where the unknown parameters are suitably estimated through procedures inspired by the maximum likelihood approach. The performances of the proposed decision schemes are evaluated by means of both synthetic as well as real data and compared with an analogous counterpart by showing the effectiveness of the proposed procedure.
نوع الوثيقة: article in journal/newspaper
وصف الملف: ELETTRONICO
اللغة: English
العلاقة: volume:71; firstpage:1599; lastpage:1611; numberofpages:13; journal:IEEE TRANSACTIONS ON SIGNAL PROCESSING; https://hdl.handle.net/11587/488885Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85153521049
DOI: 10.1109/TSP.2023.3265890
الإتاحة: https://doi.org/10.1109/TSP.2023.3265890Test
https://hdl.handle.net/11587/488885Test
حقوق: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.C999C48B
قاعدة البيانات: BASE