دوره 6، شماره 11 - ( بهار و تابستان 1397 )
جلد 6 شماره 11 صفحات 75-61 |
برگشت به فهرست نسخه ها
دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری
چکیده: (7407 مشاهده)
تصاویر پهپاد، با توان تفکیک مکانی بالا، یک منبع اطلاعاتی باارزش برای تهیه نقشه پوشش زمین و اطلاعات موضوعی به ویژه تشخیص گونه های درختی هستند. هدف از این تحقیق بررسی قابلیت تصاویر پهپاد و روش شیءپایه در تشخیص گونه های درختی در جنگل های پهن‌برگ خزری است. به‌این منظور بخشی از پارسل 24 در سری یک دارابکلای مازندران انتخاب شد. نقشه واقعیت زمینی موقعیت گونه های غالب از طریق ثبت دقیق با الگوریتم تعیین مختصات جغرافیایی با استفاده از فاصله و آزیموت در نرم‌افزار متلب تهیه شد. پس از پردازش های مناسب بر روی تصاویر، طبقه بندی به روش شیءپایه بر روی مجموعه تصاویر در سه ارتفاع پروازی 100، 75 و 55 متری به دو صورت طبقه‌بندی یک مرحله‌ای و طبقه‌بندی سلسله‌مراتبی انجام شد. در روش شیءپایه از فن نزدیکترین همسایه برای طبقه بندی گونه ها استفاده شد. ارزیابی صحت
نقشه های حاصل ازطبقه بندی ها با استفاده از 50 درصد نمونه های واقعیت زمینی انجام گرفت. نتایج نشان داد که نقشه حاصل از طبقه بندی سلسله‌مراتبی به روش شیءپایه در ارتفاع پروازی 55 متر بهترین توانایی تشخیص گونه های درختی را در بین سه ارتفاع، با ضریب کاپای 81/0 و صحت کلی 87 درصد داراست.
نقشه های حاصل ازطبقه بندی ها با استفاده از 50 درصد نمونه های واقعیت زمینی انجام گرفت. نتایج نشان داد که نقشه حاصل از طبقه بندی سلسله‌مراتبی به روش شیءپایه در ارتفاع پروازی 55 متر بهترین توانایی تشخیص گونه های درختی را در بین سه ارتفاع، با ضریب کاپای 81/0 و صحت کلی 87 درصد داراست.
نوع مطالعه: پژوهشي |
موضوع مقاله:
سنجش از دور
دریافت: 1397/2/18 | پذیرش: 1397/3/21 | انتشار: 1397/8/12
دریافت: 1397/2/18 | پذیرش: 1397/3/21 | انتشار: 1397/8/12
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