کارایی شاخص‌های راداری در استخراج سطوح نفوذناپذیر شهری با استفاده از تصویر رادار تمام پلاریمتریک

نوع مقاله: پژوهشی - کاربردی

نویسنده

استادیار گروه سنجش‌ازدور و سیستم اطلاعات جغرافیایی، دانشکدة جغرافیا، دانشگاه تهران، تهران، ایران

چکیده

تفکیک سطوح نفوذناپذیر در مناطق شهری و بررسی روند تغییرات آن، اهمیت بسیاری دارد؛ زیرا امروزه این مقوله شاخصی از گسترش شهر به‌شمار می‌آید. سطوح نفوذناپذیر در مناطق شهری، شامل مناطق مسکونی، مناطق تجاری و صنعتی، پارکینگ‌ها و سطح معابر و شبکة خیابان‌هاست. انواع سطوح نفوذناپذیر و تنوع بسیار آن‌ها از نظر شکل، اندازه و مواد تشکیل‌دهنده سبب پیچیدگی تفکیک این سطوح در مناطق شهری می‌شود. در این پژوهش از تصویر سار تمام پولاریمتریک سنجندة آلوس/ پالسار برای تشخیص سطوح نفوذناپذیر در سطح شهر تهران استفاده شده است. کارایی شاخص‌های راداری مختلف و ترکیب دوگانة باندهای پولاریمتریک در تفکیک سطوح نفوذناپذیر از سایر کلاس‌های متفاوت پوشش زمین، ارزیابی شده است. برای شناسایی کلاس‌های پوشش زمین از الگوریتم طبقه‌بندی ماشین بردار پشتیبان استفاده شده است. براساس نتایج پژوهش، استفاده از شاخص‌های راداری همراه با تمام باندهای پولاریمتریک، سبب استخراج انواع سطوح نفوذناپذیر با صحت 95 درصد می‌شود. همچنین در صورت استفاده از دو باند پولاریمتریک با قطب عمودی‌اش به همراه شاخص‌های راداری، صحت طبقه‌بندی 90 درصد است. براساس یافته‌های این پژوهش، تصاویر سار جایگزین مناسبی برای تصاویر نوری در تفکیک سطوح نفوذناپذیر شهری هستند. همچنین در صورت دسترسی‌نداشتن به تصاویر تمام پولاریمتریک، استفاده از دو باند پولاریمتریک به همراه شاخص‌های راداری، برای استخراج سطوح نفوذناپذیر در مناطق پیچیده شهری مناسب است.

کلیدواژه‌ها


عنوان مقاله [English]

Efficiency Evaluation of SAR-derived Indices in Urban Impervious Surfaces Extraction using Full Polarimetric Image

نویسنده [English]

  • Sara Attarchi
Assistant professor, Remote sensing and GIS Department, Faculty of Geography, University of Tehran
چکیده [English]

Detection of urban impervious surfaces is of great importance. Synthetic Aperture Radar (SAR) images are getting more and more attention in urban areas mapping. SAR indices are computed based on data of two or more polarimetric bands. Therefore, they contain more information of land cover classes. Since the efficiency of full polarimetric SAR has not been evaluated for urban impervious surfaces, this study focused on the extraction of these surfaces in the complex urban area by the L-band full polarimetric SAR image. Tehran has been chosen as the study area since it has a complex structure. One ALOS/PALSAR scene encompassed Tehran has been selected. Ratio index, average index, difference index, normalized difference index and NLI index have been computed by the different combination of two polarimetric bands. For classification purpose, support vector machine algorithm has been applied. The overall classification accuracy of four polarimetric bands was 92.67%. The combination of HV-VV and driven indices reached to 90.30% for classification accuracy. The highest classification accuracy from two polarimetric bands achieved by this two bands. This results could be justified by the presence of vertical polarization in both bands. Diverse vertical structures in the urban texture could be better distinguished by vertical polarization. Three main conclusions can be driven from the findings of this study. First, full polarimetric bands are capable of urban impervious surface extraction. Second, dual polarimetric SAR images and their driven indices can extract impervious surface efficiently. And the last conclusion implies the importance of vertical polarization.

کلیدواژه‌ها [English]

  • Urban impervious surface
  • Full polarimetric SAR
  • SAR indices
  • Support vector machine
  • ALOS/PALSAR
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