بهبود تخمين ارتفاع جنگل با روش بهينه‌سازي کوهرنس هوش جمعي ذرات به‌کمک داده‌هاي تداخل‌سنجي پلاريمتريک
سيده سميرا حسيني, حميد عبادي, ياسر مقصودي

ازآنجاکه درختان نقش اساسي در تغييرات دي‌اکسيد کربن و شرايط آب‌وهوايي دارند، تخمين زيست‌تودة موجود در درختان بسيار اهميت دارد. روش‌هاي راداري که پارامترهاي ساختاري را در تخمين زيست‌توده در نظر نمی‌گيرند منجر به نتايجي با سطح اشباع پايين می‌شوند.­ ارتفاع از پارامترهاي ساختاري است و يکي از عوامل مهم تأثيرگذار در بهبود تخمين ارتفاع استفاده از کوهرنس بهينه است. در اين مقاله، از داده‌هاي شبيه‌سازي‌شده در باندهاي P و L براي تخمين ارتفاع به روش‌هاي تفاضلي، اندازه همدوسي، ترکيبي و Polarization Coherence Tomography (PCT) استفاده شده است. روش تفاضلي باعث تخمين ارتفاع کمتر از مقدار واقعي به‌اندازة 14 متر در باند P و 11 متر در باند L شده است؛ درحالي‌که روش اندازة همدوسي، به‌نسبت روش تفاضلي، نتايج بهتري به‌دست می‌آورد و اختلاف مقادير میانگین ارتفاعات در اين روش با مقادير واقعي در باند P، 8 متر و در باند L، 2 متر است. روش‌هاي ترکيبي و PCT نتايجی نزديک به هم دارند و اختلاف میانگین مقادير ارتفاعات به‌دست‌آمده با مقدار واقعي کمتر از 2 متر است اما نتايج حاصل از روش PCT به‌دليل استفاده از کوهرنس بهينه، از روش ترکيبي بهتر است. روش بهينه‌سازي کوهرنس به روش PSO که در اين مقاله پيشنهاد شده است نتايجی بهتر از روش‌هاي ديگر حاصل کرده است و اختلاف میانگین مقادير ارتفاعات به‌دست‌آمده با مقدار واقعي به کمتر از 5/0 متر می‌رسد.
واژگان کلیدی
بهينه‌سازي کوهرنس، PSO، تداخل‌سنجي پلاريمتري، PCT، تخمين ارتفاع

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