آشکارسازی خطوط ساحلی با تکنیک پردازش تصویرهای ماهواره‌ای در بخشی از خلیج مکزیک

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مهندسی دریا، دانشکده‌ مکانیک، دانشگاه علوم دریایی امام خمینی (ره)،

2 دانشکده علوم دریایی، دانشگاه مازندران

3 مرکز هواشناسی و اقیانوس شناسی چابهار،کنارک

4 دانشگاه علوم دریایی امام خمینی نوشهر

چکیده

نظارت بر ناحیه‌های ساحلی از عوامل مهم در مدیریت منابع طبیعی است. هدف از این پژوهش، آشکارسازی ساحل و خط ساحلی در سال 2018 میلادی در ناحیه‌ گلف‌پورت می‌باشد. در این مطالعه، داده‌هایی از ماهواره‌ ترا، ماهواره‌ لندست 8 و ماهواره‌ی سنتینل‌ـ‌ A2 برای ناحیه‌ مورد مطالعه استفاده شدند. سپس، با استفاده از شاخص NDWI و آستانه‌گذاری روی تصویر NDWI حاصل از باندهای سنجنده‌ی Aster در ماهواره‌ ترا‌، برای استفاده به عنوان پالایه‌ جداسازی آب و غیرآب، اعمال پالایه‌ جداسازی مشابه دیگر، اعمال پالایه‌ کاهش ابر، و پالایه‌ کاهش نوفه، محدوده‌ آب و غیر آب جداشده و تصویر حاصل به عنوان ساحل محسوب شد. سرانجام، با اجرای یک پالایه آشکارساز لبه روی تصویر ساحل، خط ساحلی آشکارسازی شد. دقت آشکارش ساحل و خط ساحلی بر اساس یک تصویر مرجع با سنجه‌های PSNR، ضریب همبستگی و SSIM محاسبه شد. نتایج عددی نشان داد، بهترین پالایه آشکارساز لبه، پالایه‌ رابینسون بوده است و میزان پوشش ابر روی تصاویر پردازش شده و وضوح فضایی تصاویر از عوامل مؤثر در کیفیت آشکارش بوده‌اند.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Coastlines detection with satellite images processing technique in part of the Gulf of Mexico

نویسندگان [English]

  • Mohammad Ahmadnejad 1
  • Mahdi Akbarzade shirsavar 2
  • saeed farhadipoor 3
  • hasan mohammadi 4
1 Department of Marine Engineering, Faculty of Mechanics, Imam Khomeini University of Marine Sciences, Nowshahr, Iran
2 Faculty of Marine Sciences, University of Mazandaran
3 Oceanography and Meteorology Center of Chabahar
4 Faculty of Marine Sciences, Imam Khomeini University of Nowshahr
چکیده [English]

Coastal monitoring is one of the important factors in managing natural resources. The purpose of this research, was detection of the coast and coastline in year 2018 AD in the Gulfport area. In this study, data from Terra satellite, Landsat 8 satellite an Sentinel 2A were used for the studied area and the NDWI index was calculated. Reducing clouds filter was used and NDWIAster image to indicate range of land and water was filtered and thresholded. After running filter for reducing holes and noises on maked image, it was considered as coast. Then, with running an edge detector filter on the coast image, the coastline was detected. The precision of detection of coast and coastline was calculated based on a reference image with the quantities of PSNR, SSIM and Correlation coefficient. The numerical results showed that the best edge detector filter was Robinsons' filter. The amount of cloud cover on processed images and the spatial resolution of the images are factors that have impressed to detection quality.

کلیدواژه‌ها [English]

  • Coefficient corrolation
  • NDWI
  • PSNR
  • Histogram
  • SSIM
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