Object-oriented remote sensing image coastline extraction method

A remote sensing image, object-oriented technology used in instruments, character and pattern recognition, computer parts, etc.

Inactive Publication Date: 2011-04-13
NANJING UNIV
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Problems solved by technology

At present, the object-oriented classification idea has been more and more applied to the remote sensing image classification, but for the special geographical environment of the coastline, how to use the object-oriented remote sensing image classification idea, and how to add prior knowledge on the basis of the classification has reached the coastline Extraction has not yet published related research and applications

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  • Object-oriented remote sensing image coastline extraction method
  • Object-oriented remote sensing image coastline extraction method
  • Object-oriented remote sensing image coastline extraction method

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Embodiment Construction

[0039] Attached figure 1 The remote sensing image shown is the coastline image to be extracted. The image size is 500 rows and 500 columns. The imaging time is July 6, 2007. The imaging sensor is Landsat TM, the spatial resolution is 30 meters, and there are 6 bands in total. The 6 steps of this method are implemented under the platform of Visual C++6.0 by using C++ programming language, and the read and write operations of remote sensing image data are realized by GDAL 1.60, an open-source geographic data format conversion class library.

[0040] Step 1: Use GDAL as the image data reading and writing tool, use the GDAL.Open method to read the image DN value to a one-dimensional integer array with a size of 1,500,000, and obtain each pixel in sequence according to the given template size parameter radius=3 The point is the center, and the DN value of each band of all pixels in the area with a side length of 3 pixels is calculated, and the absolute value of the difference betwe...

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Abstract

The invention discloses an object-oriented remote sensing image coastline extraction method which belongs to the field of full automatic remote sensing image coastline extraction. The steps are as follows: carrying out filtering treatment on a remote sensing image; selecting the segmentation algorithm to segment the remote sensing image; utilizing sample points for classifying the remote sensing image after segmentation; utilizing the seed growth method for extracting a seawater region; and finally utilizing the corresponding judgment criterion to extract a coastline. By utilizing the method disclosed by the invention, the accuracy of the existing coastline extraction algorithm can be improved, the correct rate of seawater extraction after segmentation and classification treatment throughthe object-oriented method is improved and the accuracy of the coastline extraction is ensured. As the coastline changes frequently, the method can provide convenience for maintenance and updating ofcoastline information of all levels of national fundamental geographic information databases.

Description

technical field [0001] The invention relates to a remote sensing image coastline extraction method, more specifically an object-oriented remote sensing image coastline extraction method. Background technique [0002] As a zone where sea and land interact frequently, the coastal zone has a superior geographical location, rich resources of all kinds, intense human activities, and strong changes in coastline erosion and deposition. Rapid and accurate determination of the location and nature of the coastline is a technical activity that must be carried out for people to study sea-land interaction, coastal reclamation, port development, and urban expansion. Important content with work such as surveys. At present, the coastline mainly relies on manual field GPS measurement or manual digital remote sensing image acquisition. The survey cycle is long, the efficiency is low, and the cost is high. It is difficult to meet the data update requirements of the basic geographic informatio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/54
Inventor 刘永学程亮李满春李飞雪江冲亚蔡文婷李真张昱
Owner NANJING UNIV
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