BOTTOM SEDIMENT DETERMINATION DEVICE, ULTRASONIC FINDER, AND METHOD AND PROGRAM FOR SETTING PARAMETERS

• US 20120143803A1
• Filed: 12/05/2011
• Published: 06/07/2012
• Est. Priority Date: 12/06/2010
• Status: Active Grant

• Current Assignee: Furuno Electric Co, Ltd
• Original Assignee: Furuno Electric Co, Ltd
• Inventors: WADA, Tomoo, ONISHI, Yuji
• Granted Patent: US 8,990,131 B2
• Time in Patent Office: Days
• US Class Current: 706/18
• CPC Class Codes: G01S 15/88 Sonar systems specially adapted for specific applications seismic or acoustic prospecting or detecting G01V1/00
• CPC Class Codes: G01S 7/539 using analysis of echo signal for target characterisation; Target signature; Target cross-section
• CPC Class Codes: G01V 2210/62 Physical property of subsurface
• CPC Class Codes: G06N 3/02 Neural networks
• CPC Class Codes: Y10S 706/929 Geological, e.g. seismology

Abstract

This disclosure provide a bottom sediment determining device, which is inputted with an echo signal corresponding to an ultrasonic wave outputted underwater, and determines water bottom sediment using a neural network. The device includes a memory for storing two or more parameters to be used in the neural network so as to be associated with positional information, a receiver for receiving the positional information, an acquisition module for acquiring the parameters corresponding to the positional information, and a setting module for setting the parameters to the neural network.

Claims

1. A bottom sediment determining device for being inputted with an echo signal corresponding to an ultrasonic wave outputted underwater, and determining water bottom sediment using a neural network, the device comprising:

a memory for storing two or more parameters to be used in the neural network so as to be associated with positional information;

a receiver for receiving the positional information;

an acquisition module for acquiring the parameters corresponding to the positional information; and

a setting module for setting the parameters to the neural network.

2. The bottom sediment determining device of claim 1, wherein the parameters are obtained by learning through the neural network in advance for every ocean space.

3. The bottom sediment determining device of claim 1 or 2 wherein the memory stores general-purpose parameters, and the acquisition module acquires the general-purpose parameters when there is no parameter corresponding to the positional information in the memory.

4. The bottom sediment determining device of claim 1, wherein the acquisition module acquires the parameters corresponding to the positional information closest to the positional information when there is no parameter corresponding to the positional information.

5. The bottom sediment determining device of claim 1, wherein the parameters are obtained by learning through the neural network in advance according to an ocean space.

6. The bottom sediment determining device of claim 1, wherein the receiver receives GPS signals as the positional information.

7. The bottom sediment determining device of claim 1, wherein the receiver receives the positional information inputted by a user.

8. An ultrasonic finder, comprising:

a bottom sediment determining device of claim 1; and

a display unit for displaying the result of the bottom sediment determination by the bottom sediment determining device.

9. A method of setting parameters of a neural network that is inputted with an echo signal corresponding to an ultrasonic wave outputted underwater and determines water bottom sediment, the method comprising:

storing two or more parameters to be used in the neural network so as to be associated with positional information;

receiving the positional information;

acquiring the parameters corresponding to the positional information; and

setting the parameters to the neural network.

10. A computer-executable program for causing a computer to set parameters of a neural network that is inputted with an echo signal corresponding to an ultrasonic wave outputted underwater and determine water bottom sediment, the program comprising:

causing a computer to store two or more parameters to be used in the neural network so as to be associated with positional information;

causing a computer to receive the positional information;

causing a computer to acquire the parameters corresponding to the positional information; and

causing a computer to set the parameters to the neural network.