کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
532091 869908 2012 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fusion of multispectral and panchromatic images based on support value transform and adaptive principal component analysis
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Fusion of multispectral and panchromatic images based on support value transform and adaptive principal component analysis
چکیده انگلیسی

In this paper we combined the projection–substitution with ARSIS (French acronym for “Amélioration de la Résolution Spatiale par Injection de Structures”, i.e., Improving Spatial Resolution by Structure Injection) concept assumption for fusion of panchromatic (PAN) and multispectral (MS) images. Firstly support value filter (SVF) is used to establish a new multiscale model (MSM), support vector transform (SVT), and adaptive principal component analysis (APCA) is then employed to select the principal components of MS images by means of a statistical measure of the correlation between MS and PAN images; secondly, a local approach is used to check whether a structure should appear in the new principal component and PAN high frequency structures are transformed by high resolution interband structure model (HRIBSM) before inserting in the MS modalities. Because SVT is an undecimated, dyadic and aliasing transform with shift-invariant property, the fused image can avoid ringing effects suffered from sampling. Additionally, the ARSIS concept can make full use of the remote sensing physics to reduce the spatial and spectrum distortion in the structure injection. Texture extraction is also employed to avoid the spectral distortion caused by the mistaken injection of low-pass components into the MS images. Experimental results including visual and numerical evaluation also proves the superiority of the proposed method to its counterparts.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Fusion - Volume 13, Issue 3, July 2012, Pages 177–184
نویسندگان
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