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Submarine identification and classification method based on shallow strata profiler and svm

A classification method and profiler technology, applied in the direction of character and pattern recognition, instruments, processing detection response signals, etc., can solve the problems of low efficiency and low accuracy, and achieve the effect of high efficiency and fast classification speed

Active Publication Date: 2022-06-07
SHANDONG UNIV OF SCI & TECH
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  • Claims
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Problems solved by technology

[0006] The object of the present invention is, in order to overcome the deficiencies existing in the prior art, provide a kind of seabed substrate identification and classification method based on shallow formation profiler and SVM, be used to solve the existing method low efficiency, low precision technology question

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  • Submarine identification and classification method based on shallow strata profiler and svm
  • Submarine identification and classification method based on shallow strata profiler and svm
  • Submarine identification and classification method based on shallow strata profiler and svm

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Embodiment

[0036] In order to prove the accuracy of the method for identifying and classifying the bottom of the seabed based on the shallow stratigraphic profiler and SVM, a laboratory pool is selected below. The time for each fixed-point measurement is 5 minutes.

[0037] Step 1: Use the shallow formation profiler to collect the echo acoustic signal data of the shallow formation at the specified location. The shallow stratigraphic profiler used this time is the SBP220 broadband shallow stratigraphic profiler developed by the Marine Intelligent Navigation and Perception Laboratory, School of Surveying and Mapping, Shandong University of Science and Technology. Detect various geology, and select an experimental water tank for testing. There are three types of substrates: cement, soil, and sand in the tank. Five groups of data are randomly measured in areas with different substrates, and the measurement time at each fixed point is 5 minutes.

[0038] Step 2: Preprocess the data in Step 1...

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Abstract

The invention discloses a method for identifying and classifying seabed bottom based on a shallow stratum profiler and SVM, which comprises the following specific steps: step 1, using a shallow stratum profiler to collect shallow stratum echo acoustic signal data at a designated location; step 2 The data in step 1 is preprocessed to obtain the training set and test set required for SVM training; the RBF kernel function model used in step 3 is used to model, and the model is trained to obtain the bottom classification model; step 4 uses cross-validation The method, multiple tests to get the optimal parameter C and parameter gamma , and then obtain the optimal sediment classification model; the present invention utilizes the SVM sediment classification model of the data measured by the shallow strata profiler, which can process a large amount of data after training, and efficiently and accurately identify the submarine sediment type, which has important application value.

Description

technical field [0001] The invention relates to a method for identifying and classifying seabed sediment, in particular to a method for identifying and classifying seabed sediment based on a shallow stratigraphic profiler and SVM, and belongs to the technical field of marine surveying and mapping. Background technique [0002] Seabed sediment classification research has very broad prospects and significance in both civil and military applications. Currently, the commonly used seabed classification methods include direct sampling method and indirect detection method. Direct sampling can achieve accurate sediment classification, but the cost is high, and it is difficult to achieve in deep water. The indirect detection method uses optical, acoustic, biological and other means for detection. The principle of using acoustic methods to remotely measure sediment types is to use acoustic transducers. The device emits sound waves to the seabed, and understands the properties of seabe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N29/04G01N29/44
CPCG01N29/04G06F18/2411G06F18/2414G06F18/214Y02A90/30
Inventor 罗宇郑旭施剑吴逸凡徐辉李斌
Owner SHANDONG UNIV OF SCI & TECH
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