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Proceedings Paper

Software for hyperspectral, joint photographic experts group (.JPG), portable network graphics (.PNG) and tagged image file format (.TIFF) segmentation
Author(s): L. S. Bruno; B. P. Rodrigo; A. de C. Jorge Lucio
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Paper Abstract

This paper presents a system developed by an application of a neural network Multilayer Perceptron for drone acquired agricultural image segmentation. This application allows a supervised user training the classes that will posteriorly be interpreted by neural network. These classes will be generated manually with pre-selected attributes in the application. After the attribute selection a segmentation process is made to allow the relevant information extraction for different types of images, RGB or Hyperspectral. The application allows extracting the geographical coordinates from the image metadata, geo referencing all pixels on the image. In spite of excessive memory consume on hyperspectral images regions of interest, is possible to perform segmentation, using bands chosen by user that can be combined in different ways to obtain different results.

Paper Details

Date Published: 26 October 2016
PDF: 7 pages
Proc. SPIE 10008, Remote Sensing Technologies and Applications in Urban Environments, 1000815 (26 October 2016); doi: 10.1117/12.2242156
Show Author Affiliations
L. S. Bruno, Embrapa Instrumentação Agropecuária (Brazil)
B. P. Rodrigo, Embrapa Instrumentação Agropecuária (Brazil)
A. de C. Jorge Lucio, Embrapa Instrumentação Agropecuária (Brazil)


Published in SPIE Proceedings Vol. 10008:
Remote Sensing Technologies and Applications in Urban Environments
Thilo Erbertseder; Thomas Esch; Nektarios Chrysoulakis, Editor(s)

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