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:: دوره 7، شماره 4 - ( 12-1398 ) ::
جلد 7 شماره 4 صفحات 139-156 برگشت به فهرست نسخه ها
ارائه رویکرد نوین SVM-CRF برای طبقه‌بندی ابر نقاط لیدار هوایی در محیط شهری
فرزانه عقیقی، حسین عقیقی*، امید مهدی عبادتی
دانشگاه شهید بهشتی
چکیده:   (432 مشاهده)
طی دهه ­های گذشته، رشد شهری به عنوان یک پدیده­ جهانی شناخته شده است که شامل روند گسترده شدن و الگوی گسترش است. همان‌طور که شهرها به سرعت در حال تغییر هستند، می­توان به­منظور تجزیه و تحلیل کمّی آن­ها و همچنین تصمیم­گیری در برنامه­ریزی شهری از مزایای مدل­های دیجیتالی دوبعدی و سه­بعدی استفاده کرد. پیشرفت­های اخیر در تصویربرداری و تکنولوژی­های حسگر غیر تصویربردار مانند سیستم تشخیص و ردیابی نور (لیدار) هوایی، منجر به ایجاد مقدار زیادی داده­­های سنجش از دوری شده است که می­تواند برای تولید مدل­های دو­بعدی و سه­بعدی به­کار گرفته شود. هدف از این مقاله ارائه­ رویکرد نوین SVM-CRF برای طبقه­بندی مجموعه داده ابر نقاط لیدار و تصویر و مقایسه کارآیی این رویکرد نسبت به دیگر رویکردهای موجود از جمله رویکردهای گرافیکی احتمالاتی است. لازم به ذکر است که در این مقاله از SA به عنوان بهینه ساز SVM-CRF استفاده شد. برای ارزیابی قابلیت رویکرد مورد استفاده در این مقاله از مجموعه داده­ مرجع ISPRS که برای شهر وایهینگن و به منظور طبقه­بندی شهری و بازسازی ساختمان سه­بعدی تولید شده است؛ استفاده شد. همچنین نتایج تحقیق قبلی نویسنده مقاله پیش­رو که رویکرد  SVM-MRFرا معرفی کرده بود در کنار دیگر تحقیقاتی که از روش CRF و مجموعه داده مشابه استفاده کرده­اند، برای مقایسه بهتر نتایج آورده شده است. نتایج این تحقیق نشان می­دهد که عملکرد روش SVM-CRF با دقت کلی 06/89 درصد و ضریب کاپا 84/0 درصد از سایر رویکردهای طبقه­بندی به کار رفته روی مجموعه داده­ مشابه بهتر است.
واژه‌های کلیدی: ابر نقاط لیدار، طبقه‌بندی، میدان شرطی تصادفی، یادگیری ماشین، ویژگی‌های شهر.
متن کامل [PDF 1220 kb]   (123 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: فتوگرامتری
دریافت: 1397/9/28 | پذیرش: 1398/7/16 | انتشار: 1398/12/29
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Aghighi F, Aghighi H, Ebadati O M. Conditional Random Fields for Airborne Lidar Point Cloud Classification in Urban Area. jgit. 2020; 7 (4) :139-156
URL: http://jgit.kntu.ac.ir/article-1-767-fa.html

عقیقی فرزانه، عقیقی حسین، عبادتی امید مهدی. ارائه رویکرد نوین SVM-CRF برای طبقه‌بندی ابر نقاط لیدار هوایی در محیط شهری. مهندسی فناوری اطلاعات مکانی. 1398; 7 (4) :139-156

URL: http://jgit.kntu.ac.ir/article-1-767-fa.html



دوره 7، شماره 4 - ( 12-1398 ) برگشت به فهرست نسخه ها
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
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