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:: دوره 10، شماره 3 - ( 11-1401 ) ::
جلد 10 شماره 3 صفحات 70-49 برگشت به فهرست نسخه ها
ارائه یک روش کارآمد با استفاده از ادغام ویژگی ھای شبکه عصبی کانولوشنی عمیق برای تشخیص ابر به کمک باندھای بازتابی از تصاویر ماھواره ای لندست-8
ارسطو زارعی ، رضا شاه حسینی* ، مرتضی سیدموسوی
دانشگاه تهران
چکیده:   (1729 مشاهده)
شناسایی ابر در کاربردهای مختلف تصاویر ماهواره­ای چندطیفی مرحله­ای مهم در پیش پردازش می­باشد، به طور خاص در برنامه­های مرتبط با بلایای طبیعی مانند نظارت بر سیل یا نقشه برداری سریع خسارت که در بحث زمان و داده­ها دارای اولویت هستند و نیاز به روش­هایی دارند که ماسک ابری دقیق را در مدت زمان کوتاه به طور آنی تولید کنند. در این مطالعه، یک شبکه عصبی پیچیده عمیق برای تشخیص ابر در مجموعه داده­های لندست-8 در سطح پیکسل ارائه شد. شبکه پیشنهادی در این مطالعه دو ویژگی اصلی داشت: 1) چندین هسته پیچشی با اندازه‌های چندگانه، و 2) لایه­های کانولوشنی مستقیم در شاخه رمزگشا. باند مادون قرمز نزدیک در این مطالعه به ورودی­های شبکه شامل باندهای قرمز، سبز و آبی اضافه شد تا عملکرد شبکه را بهبود ببخشد. در معماری شبکه پیشنهادی، شاخه­های رمزگذار-رمزگشای متقارن با تراکم نقشه­های ویژگی حاصل از تعدد فیلترها و طراحی فیلترهای با ابعاد مختلف، زمینه محلی و کلی را جهت شناسایی دقیق ابر و حاشیه­های آن فراهم کردند که برای استخراج ویژگی­های مکانی در مقیاس­های سطح بالا استفاده می­شوند. نقشه­های ویژگی حاصل از مقیاس­های متعدد، نمونه­برداری و تلفیق شده و جهت بازیابی خروجی با دقت­های بالا به کار گرفته می­شوند. در نهایت روش پیشنهادی با استفاده از 3500 قطعه از تصاویر ماهواره لندست-8 با چالش­های متنوع ابر با به کارگیری از چندین هسته در اندازه­های 3 × 3 و 5 × 5 با نمره F1 برابر 6/96 و شاخص ژاکارد 5/93 نسبت به روش­های دیگر دقت بالاتری را ارائه داد. به طور کلی در روش پیشنهادی نسبت به روش­های مقایسه شده در مجموعه داده یکسان اما تصحیح نشده، به ویژه در مناطق پوشیده از سطح روشن، نتایج بهتری را به دست آورد.
واژه‌های کلیدی: سنجش از دور، لندست-8، شبکه عصبی کانولوشنی، شناسایی ابر.
متن کامل [PDF 1461 kb]   (479 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: سنجش از دور
دریافت: 1400/4/30 | پذیرش: 1401/9/1 | انتشار: 1401/11/17
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Zarei A, Shah-Hosseini R, Seyyed-Mousavi M. An efficient method using the fusion of deep convolutional neural network features for cloud detection using Landsat-8 OLI spectral bands. jgit 2023; 10 (3) :49-70
URL: http://jgit.kntu.ac.ir/article-1-839-fa.html

زارعی ارسطو، شاه حسینی رضا، سیدموسوی مرتضی. ارائه یک روش کارآمد با استفاده از ادغام ویژگی ھای شبکه عصبی کانولوشنی عمیق برای تشخیص ابر به کمک باندھای بازتابی از تصاویر ماھواره ای لندست-8. مهندسی فناوری اطلاعات مکانی. 1401; 10 (3) :49-70

URL: http://jgit.kntu.ac.ir/article-1-839-fa.html



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دوره 10، شماره 3 - ( 11-1401 ) برگشت به فهرست نسخه ها
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