TY - GEN
T1 - Analysis of chromatic characteristics, in satellite images for the classification of vegetation covers and deforested areas
AU - Auccahuasi, Wilver
AU - Sernaque, Fernando
AU - Bernardo, Madelaine
AU - Castro, Percy
AU - Núñez, Elizabeth Oré
AU - Raymundo, Luis
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/12/29
Y1 - 2018/12/29
N2 - Satellite images provide us with information of vital importance, in order to analyze large tracts of land, so their analysis has a degree of complexity characterized by the weight of the image and its size, analyzing large tracts of land originates analyzing the image in all its extension, there are now intelligent algorithms capable of classifying the images, these can analyze the images causing a decrease in the analysis time and improving the result of the analysis of the images. The vegetal cover in our planet is suffering great changes produced by phenomena caused by man, by effects of deforestation, illegal mining among others, that are originating great changes in the terrestrial cover, the evaluation of these changes can be realized by the analysis of satellite images with which you can classify and then locate the area, for this purpose the chromatic characteristics of the images are analyzed with the help of artificial intelligence techniques. In this work, the chromatic characteristics of an image dataset are analyzed. They correspond areas that belong to vegetal cover and areas that do not correspond to the vegetal cover, with the intention of analyzing if these two classes are linearly separable.
AB - Satellite images provide us with information of vital importance, in order to analyze large tracts of land, so their analysis has a degree of complexity characterized by the weight of the image and its size, analyzing large tracts of land originates analyzing the image in all its extension, there are now intelligent algorithms capable of classifying the images, these can analyze the images causing a decrease in the analysis time and improving the result of the analysis of the images. The vegetal cover in our planet is suffering great changes produced by phenomena caused by man, by effects of deforestation, illegal mining among others, that are originating great changes in the terrestrial cover, the evaluation of these changes can be realized by the analysis of satellite images with which you can classify and then locate the area, for this purpose the chromatic characteristics of the images are analyzed with the help of artificial intelligence techniques. In this work, the chromatic characteristics of an image dataset are analyzed. They correspond areas that belong to vegetal cover and areas that do not correspond to the vegetal cover, with the intention of analyzing if these two classes are linearly separable.
KW - Bands
KW - Characteristics
KW - Chromatic
KW - Color bands
KW - Dataset
KW - Image
KW - Image processing
KW - Reflectance
KW - Satellite image
KW - Segmentation
UR - http://www.scopus.com/inward/record.url?scp=85064474848&partnerID=8YFLogxK
U2 - 10.1145/3301506.3301550
DO - 10.1145/3301506.3301550
M3 - Conference contribution
AN - SCOPUS:85064474848
T3 - ACM International Conference Proceeding Series
SP - 134
EP - 139
BT - ICVIP 2018 - Proceedings of 2018 the 2nd International Conference on Video and Image Processing
PB - Association for Computing Machinery
T2 - 2nd International Conference on Video and Image Processing, ICVIP 2018
Y2 - 29 December 2018 through 31 December 2018
ER -
