POTENTIAL EVALUATION OF DIFFERENT DATA FUSION TECHNIQUES IN REMOTE SENSING
عنوان مقاله: POTENTIAL EVALUATION OF DIFFERENT DATA FUSION TECHNIQUES IN REMOTE SENSING
شناسه ملی مقاله: ICMVIP03_036
منتشر شده در سومین کنفرانس ماشین بینایی و پردازش تصویر در سال 1383
شناسه ملی مقاله: ICMVIP03_036
منتشر شده در سومین کنفرانس ماشین بینایی و پردازش تصویر در سال 1383
مشخصات نویسندگان مقاله:
Hassan Bagherzadeh - Control & Intelligent Processing Center of Excellency, ECE Department, University of Tehran, Tehran, Iran
Behzad Moshiri - Control & Intelligent Processing Center of Excellency, ECE Department, University of Tehran, Tehran, Iran
Farhad Samadzadegan - Surveying and Geomatics Engineering Department, University of Tehran, Tehran, Iran
خلاصه مقاله:
Hassan Bagherzadeh - Control & Intelligent Processing Center of Excellency, ECE Department, University of Tehran, Tehran, Iran
Behzad Moshiri - Control & Intelligent Processing Center of Excellency, ECE Department, University of Tehran, Tehran, Iran
Farhad Samadzadegan - Surveying and Geomatics Engineering Department, University of Tehran, Tehran, Iran
Data fusion techniques have been widely used to process earth observation data on the ground, which can generate data with higher quality and extract better information from multi-source or multi-temporal data. However, a few comparison research works have been done in current literature to evaluate the quality of the fused image from different fusion methodologies. This study examines properties of fused images and their ability to preserve the spectral and intensity integrity of the original image. It analyzes eight current data fusion techniques as applied to a complex scene to assess their performance. In our evaluation, eight data fusion models used: one spatial domain model (High-Pass Filter), one algebraic models (Brovey Transform), two spectral domain models (Principal Components Transform and Intensity-Hue-Saturation), two Wavelet transform techniques, one morphological method, and one Laplacian Method.
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/125765/