Triton Perspective Map -- SeaClass User Guide -- By: Tony M. Ramirez September 2014
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 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 9 Feature Groups - Once the "Classes" are defined, the drop-down menu below the manual recording options allow the user to load s
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 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 12 Enter a file name and select 'Save'. This will return you to the 'Train Neural Net' window shown below:
Page 13 Options available include: Create - use to create a neural net for automated image classification Back - allows users to return to
Page 14 Enter a file name and select Save. This will start the classification process. The following dialog is displayed during classificatio
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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 ii © 2014 TRITON This user guide is provided as a means to become familiar with TRITON’s software through an explanation
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 18 create a new one using the Create button shown in the window below: Click finish when done.
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 20 6.0 SeaClass Exports Results from the classification process can be exported through the following methods: 1. Composite Export: This
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 iii Table of Contents 1.0 SeaClass Module ... 1 1.1 Supported
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 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 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 4 2.4 Classification Right-clicking on the Classification layer or any of its sub-layers will give the following options: Color Settings:
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 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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