TY - GEN
T1 - Identification and cadastral registration of water bodies through multispectral image processing with multi-layer Perceptron Neural Network
AU - Dianderas, Erwin
AU - Rojas, Kevin
AU - Kemper, Guillermo
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/1/14
Y1 - 2015/1/14
N2 - In this article is developed a technique that allows to calculate the presence of vegetation, glaciers and water bodies through multispectral image processing employing a Multi-layer Perceptron Neural Netwok, giving the option to discriminate the presence of lakes to generate the cadastral registration of these. The supervised classification that was implemented has a high level of robustness and reliability, since the validation of the data obtained at a geolocation level have a 0% of error and the parameters of the area and perimeter an approximate error of 10%.
AB - In this article is developed a technique that allows to calculate the presence of vegetation, glaciers and water bodies through multispectral image processing employing a Multi-layer Perceptron Neural Netwok, giving the option to discriminate the presence of lakes to generate the cadastral registration of these. The supervised classification that was implemented has a high level of robustness and reliability, since the validation of the data obtained at a geolocation level have a 0% of error and the parameters of the area and perimeter an approximate error of 10%.
KW - Geolocalisation
KW - Landsat 8
KW - Neural Network(NN)
KW - Normal Difference Snow Index (NDSI)
KW - Normal Difference Vegetation Index (NDVI)
KW - Normal Difference Water Index (NDWI)
KW - Satellite Image Processing
UR - https://www.scopus.com/pages/publications/84922496382
U2 - 10.1109/STSIVA.2014.7010132
DO - 10.1109/STSIVA.2014.7010132
M3 - Contribución a la conferencia
AN - SCOPUS:84922496382
T3 - 2014 19th Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2014
BT - 2014 19th Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 19th Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2014
Y2 - 17 September 2014 through 19 September 2014
ER -