Remote sensing classifying method for sea ice types

A classification method and type of technology, applied in the field of remote sensing applications, can solve problems such as difficult to achieve large-scale sea ice classification, small space coverage, and limited cost of remote sensing images, so as to achieve simple and easy execution steps, improve classification efficiency, The effect of reducing human involvement

Active Publication Date: 2018-02-09
NANJING UNIV
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Problems solved by technology

Early sea ice type data could only be obtained through field surveys. Later, a classification

Method used

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  • Remote sensing classifying method for sea ice types
  • Remote sensing classifying method for sea ice types
  • Remote sensing classifying method for sea ice types

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Embodiment Construction

[0039] The present invention will be described in detail below according to the accompanying drawings, so as to make the technical route and operation steps of the present invention clearer. The data used in the examples of the present invention are the CryoSat-2 satellite L1b level SAR model baseline C data and AARIshapfile format data. The training data was obtained from March 1, 2015 to March 30, 2015, the data to be classified was obtained from March 1, 2016 to March 30, 2016, and the AARI data was obtained from March 2016 15th.

[0040] figure 1 It is a flow chart of sea ice remote sensing classification method, and the specific steps are as follows:

[0041] Step 1: Prepare the training data and the data to be classified, and read the information of the data, including the following aspects:

[0042] 1), read the downloaded Cryosat-2 satellite SAR model L1b level DBL format original files in sequence, and obtain the training data (March 1, 2015 - March 30, 2015) and d...

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Abstract

The invention relates to a remote sensing classifying method for sea ice types. Polar region sea ice are sorted by adopting satellite radar height gauge Cryosat-2 data, so that large-scale sea ice classification based on novel means is implemented. The method includes steps of acquiring longitude and latitude coordinates of measurement points and corresponding radar echo waveforms from the heightgauge Cryosat-2 data and extracting related features of echo waveforms; downloading AARI sea ice type data and extracting sea ice type information at the corresponding measurement points; performing geographic matching on the above extracted data information and converting the data information to point data with longitude and latitude coordinates through MATLAB programming; taking the acquired waveform features of the points and the corresponding sea ice types as training data and training by utilizing a random forest classifier, performing sea ice classification on to-be-classified data; performing treatment including projection conversion, grid transformation and the like in ArcGIS on data subjected to classification and acquiring a sea ice type data set having a spatial resolution of 25km.

Description

technical field [0001] The invention relates to a remote sensing classification method for sea ice types, belonging to the technical field of remote sensing applications. technical background [0002] The type of sea ice has an important impact on the global climate and is one of the important factors affecting the inversion of sea ice thickness and ship navigation. Early sea ice type data could only be obtained through field surveys. Later, a classification method based on optical and SAR remote sensing images was developed. Scale sea ice classification. With the development of satellite radar altimeters, more scholars have begun to study the use of altimeter data to classify sea ice, because the altimeter has a larger spatial coverage and a higher temporal resolution. Classification of sea ice using altimeters differs from the usual application of altimeter data because altimeters are often used to retrieve sea ice thickness. Since 1990, many scholars have successively ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/13G06F2218/10G06F18/24323G06F18/214
Inventor 柯长青沈校熠
Owner NANJING UNIV
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