کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6949759 1451287 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Maximum-likelihood estimation for multi-aspect multi-baseline SAR interferometry of urban areas
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سیستم های اطلاعاتی
پیش نمایش صفحه اول مقاله
Maximum-likelihood estimation for multi-aspect multi-baseline SAR interferometry of urban areas
چکیده انگلیسی
The reconstruction of digital surface models (DSMs) of urban areas from interferometric synthetic aperture radar (SAR) data is a challenging task. In particular the SAR inherent layover and shadowing effects need to be coped with by sophisticated processing strategies. In this paper, a maximum-likelihood estimation procedure for the reconstruction of DSMs from multi-aspect multi-baseline InSAR imagery is proposed. In this framework, redundant as well as contradicting observations are exploited in a statistically optimal way. The presented method, which is especially suited for single-pass SAR interferometers, is examined using test data consisting of experimental airborne millimeterwave SAR imagery. The achievable accuracy is evaluated by comparison to LiDAR-derived reference data. It is shown that the proposed estimation procedure performs better than a comparable non-statistical reconstruction method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: ISPRS Journal of Photogrammetry and Remote Sensing - Volume 87, January 2014, Pages 68-77
نویسندگان
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