Triton Sediment Manuel d'utilisateur

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Page 1 - Triton Perspective Map

Triton Perspective Map -- SeaClass User Guide -- By: Tony M. Ramirez September 2014

Page 2 - Triton Imaging Inc

Page 7 the classification process, the area around each sample location is compared to the texture of the imagery to develop an understanding of

Page 3 - Table of Contents

Page 8 Click on the 'Add Class' button to create the class groups. Once a Class has been created, add samples by either selecting the

Page 4 - 1.0 SeaClass Module

Page 9 Feature Groups - Once the "Classes" are defined, the drop-down menu below the manual recording options allow the user to load s

Page 5 - 2.2 Manual Training

Page 10 Click 'Next' to open a dialog to for naming the training set XML file as shown here: After a name is entered for the training

Page 6 - 2.3 Neural Nets

Page 11 3.2 Neural Net Training The second step in the classification process is to use the training set created to train the neural net. To tr

Page 7 - 2.4 Classification

Page 12 Enter a file name and select 'Save'. This will return you to the 'Train Neural Net' window shown below:

Page 8 - 2.0 SeaClass Process

Page 13 Options available include:  Create - use to create a neural net for automated image classification  Back - allows users to return to

Page 9 - Important Grid Size Note!!!

Page 14 Enter a file name and select Save. This will start the classification process. The following dialog is displayed during classificatio

Page 11 - 'Color'

Page 16 4.0 Edit Training Set As more bottom information is obtained either from additional samples or in-situ observations by a diver or ROV, t

Page 12 - Page 9

Page ii © 2014 TRITON This user guide is provided as a means to become familiar with TRITON’s software through an explanation

Page 13 - Page 10

Page 17 the map view. When finished select the pause button. The record and pause buttons can be seen in the window below: To add points t

Page 14 - 3.2 Neural Net Training

Page 18 create a new one using the Create button shown in the window below: Click finish when done.

Page 15 - Page 12

Page 19 5.0 Quick Classification The creation of the Classification image can take some time, although it is worth noting that the actual classi

Page 16 - 3.3 Classify Bottom Types

Page 20 6.0 SeaClass Exports Results from the classification process can be exported through the following methods: 1. Composite Export: This

Page 17 - Page 14

Page 21 3. Classification Export: This exports the classification grid to an AutoCAD DXF file and is launched by right-clicking on the classif

Page 18 - Page 15

Page iii Table of Contents 1.0 SeaClass Module ... 1 1.1 Supported

Page 19 - 4.0 Edit Training Set

Page 1 1.0 SeaClass Module SeaClass is an add-on to MosaicOne which allows users to classify sediment types based on a neural net training set c

Page 20 - Page 17

Page 2 2.0 SeaClass File Tree Options 2.1 Tree Structure The SeaClass layer contains three sub-layers as shown in the image below: Manual Traini

Page 21 - Click finish when done

Page 3 Resample: If a new sample size was set when editing the training set, selecting this will resample the training set at the new size. Rem

Page 22 - 5.0 Quick Classification

Page 4 2.4 Classification Right-clicking on the Classification layer or any of its sub-layers will give the following options: Color Settings:

Page 23 - 6.0 SeaClass Exports

Page 5 2.0 SeaClass Process 2.1 Prepare Data 2.1.1 Bottom Samples One requirement for the classification process using SeaClass is having bottom

Page 24 - Page 21

Page 6 2.2 Create Training Set The first step in the classification process is to enter ground truth information to generate a set of data point

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