کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
564172 875575 2012 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A super-resolution reconstruction algorithm for hyperspectral images
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
A super-resolution reconstruction algorithm for hyperspectral images
چکیده انگلیسی

The spatial resolution of a hyperspectral image is often coarse because of the limitations of the imaging hardware. Super-resolution reconstruction (SRR) is a promising signal post-processing technique for hyperspectral image resolution enhancement. This paper proposes a maximum a posteriori (MAP) based multi-frame super-resolution algorithm for hyperspectral images. Principal component analysis (PCA) is utilized in both parts of the proposed algorithm: motion estimation and image reconstruction. A simultaneous motion estimation method with the first few principal components, which contain most of the information of a hyperspectral image, is proposed to reduce computational load and improve motion field accuracy. In the image reconstruction part, different image resolution enhancement techniques are applied to different groups of components, to reduce computational load and simultaneously remove noise. The proposed algorithm is tested on both synthetic images and real image sequences. The experimental results and comparative analyses verify the effectiveness of this algorithm.


► A simultaneous motion estimation method for hyperspectral images is introduced.
► A MAP based hyperspectral image super-resolution method is presented.
► Super-resolution experiments on real hyperspectral images are conducted.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 92, Issue 9, September 2012, Pages 2082–2096
نویسندگان
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