دوره 13، شماره 3 - ( 9-1395 )                   جلد 13 شماره 3 صفحات 155-169 | برگشت به فهرست نسخه ها


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Fayyazi H, Dehghani H, Hosseini M. Sparse unmixing of hyper-spectral images using a pruned spectral library. JSDP. 2016; 13 (3) :155-169
URL: http://jsdp.rcisp.ac.ir/article-1-128-fa.html
فیاضی حسین، دهقانی حمید، حسینی مجتبی. تجزیه‌ ی تُنُک تصاویر ابرطیفی با استفاده از یک کتابخانه‌ ی طیفی هرس شده. پردازش علائم و داده‌ها. 1395; 13 (3) :155-169

URL: http://jsdp.rcisp.ac.ir/article-1-128-fa.html


کارشناسی ارشد دانشگاه صنعتی مالک اشتر
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تجزیه طیفی تصاویر ابرطیفی یکی از زمینه‌های پژوهشی مهم در سنجش از دور است. در همین اواخر استفاده مستقیم از کتابخانه‌های طیفی برای انجام تجزیه طیفی افزایش یافته‌ است. در این روش‌ها که به تجزیه تُنُک موسومند، نیازی به استخراج مواد پایه و تعیین تعداد آن‌ها از قبل نیست؛ امٌا از آن‌جا که کتابخانه‌های طیفی حاوی طیف‌هایی هستند که همبستگی زیادی دارند، روش‌های تجزیه تُنُک ممکن است، راه‌حل‌های نیمه بهینه‌ای تولید کنند. از طرف دیگر بسیاری از این روش‌ها، نسبت به نوفه حساس بوده و علاوه‌بر‌این به راه‌حل به‌طور‌کامل تُنُکی منجر نمی‌شوند. در این مقاله برای حل مشکلات بالا، در ابتدا کتابخانه طیفی براساس اطلاعات طیفی موجود در تصویر و با استفاده از تکنیک‌های خوشه‌بندی و طبقه‌بندی، هرس شده و سپس از الگوریتم ژنتیک برای تجزیه تُنُک استفاده شده ‌است. آزمایش‌های انجام‌شده بر روی تصاویر آزمایشی و واقعی نشان می‌دهد که روش پیشنهادی، در تصاویر با نسبت سیگنال به نوفه کم و تصاویر واقعی نتایج بهتری به‌دست می‌دهد. 

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نوع مطالعه: پژوهشي | موضوع مقاله: مقالات پردازش تصویر
دریافت: ۱۳۹۲/۴/۲ | پذیرش: ۱۳۹۵/۵/۵ | انتشار: ۱۳۹۶/۲/۳ | انتشار الکترونیک: ۱۳۹۶/۲/۳

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