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Polar iceberg remote sensing identification method based on double-bubble method

A double-bubbling method and remote sensing identification technology, which is applied in the application field of remote sensing geology, can solve the problems of inability to accurately identify icebergs, unable to obtain reliable iceberg area and linear size, etc., and achieve the effect of simple method, high precision and simple operation steps.

Active Publication Date: 2017-12-29
NANJING UNIV
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a polar iceberg remote sensing identification method based on the double bubbling method, which can quickly and efficiently Accurately obtain the iceberg boundary in units of pixels from the image, and then obtain information such as iceberg area and linear size, and complete the precise identification of icebergs

Method used

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  • Polar iceberg remote sensing identification method based on double-bubble method
  • Polar iceberg remote sensing identification method based on double-bubble method
  • Polar iceberg remote sensing identification method based on double-bubble method

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Embodiment Construction

[0038] The image data of this example is the Sentinel-1A SAR image, downloaded from the ASF website (https: / / vertex.daac.asf.alaska.edu / ) for free, the geographical coordinates of the image center are S 77°, W 38°, and the time is 2016 November 29.

[0039] Such as figure 1 The flow chart of this example, the specific implementation steps of the iceberg identification method include the following: the first step, download the Sentinel-1A SAR images in November and December (summer in the southern hemisphere). The image location is generally the sea area on the edge of the Antarctic continent.

[0040] The second step is to crop the original remote sensing image, and only keep the suspected iceberg part. Use ENVI software to read the cropped remote sensing images, and perform preprocessing such as mean filtering to eliminate noise. And through manual identification and MATLAB data extraction to determine the number of icebergs less than 10 pixels, use the assignment method t...

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Abstract

The present invention discloses a polar iceberg remote sensing identification method based on a double-bubble method. Sentinel-1A satellite images are subjected to pre-processing to remove image noise; a detector is used in the MATLAB to detect an iceberg edge area; the images are subjected to evaluation to remove striped noised in an image background sea area; the double-bubble method is employed to obtain the maximum value of each pixel set in each row, namely the iceberg row boundary pixels; the pixels between the iceberg row boundary pixels are subjected to filling; and the iceberg after filling is subjected to boundary extraction to finally obtain an iceberg boundary taking a pixel as unit so as to identify the iceberg. The information such as iceberg image and linearity dimension can be calculated so as to improve the precision of iceberg identification.

Description

technical field [0001] The invention relates to a polar iceberg remote sensing recognition method based on a double bubbling method, and belongs to the technical field of remote sensing geoscience applications. technical background [0002] Icebergs play an important role in revealing changes in Antarctic climate and marine environmental conditions in recent years. Accurate positioning of the iceberg boundary is the first condition to obtain information such as iceberg area and linear size. Obtaining the iceberg boundary is of great significance for the study of iceberg melting, production rate and ocean current movement. [0003] The ship-based observation method is limited by factors such as time and distance, and has great limitations. It can only provide a small amount of information such as the area and linear size of icebergs. The ship-based iceberg identification method has the advantage of identifying multiple icebergs at the same time, but because it cannot accurat...

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Application Information

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IPC IPC(8): G06T5/00G06T7/12G06T7/181
CPCG06T7/12G06T7/181G06T2207/30181G06T2207/20021G06T2207/20024G06T2207/10032G06V20/13G06T5/70
Inventor 柯长青舒苏李海丽王蔓蔓
Owner NANJING UNIV
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