Analysis of chromatic characteristics, in satellite images for the classification of vegetation covers and deforested areas

Wilver Auccahuasi; Fernando Sernaque; Madelaine Bernardo; Percy Castro; Elizabeth Oré Núñez; Luis Raymundo

doi:10.1145/3301506.3301550

Analysis of chromatic characteristics, in satellite images for the classification of vegetation covers and deforested areas

Wilver Auccahuasi
, Fernando Sernaque
, Madelaine Bernardo
, Percy Castro
, Elizabeth Oré Núñez
, Luis Raymundo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

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.

Original language	English
Title of host publication	ICVIP 2018 - Proceedings of 2018 the 2nd International Conference on Video and Image Processing
Publisher	Association for Computing Machinery
Pages	134-139
Number of pages	6
ISBN (Electronic)	9781450366137
DOIs	https://doi.org/10.1145/3301506.3301550
State	Published - 29 Dec 2018
Externally published	Yes
Event	2nd International Conference on Video and Image Processing, ICVIP 2018 - Hong Kong, Hong Kong Duration: 29 Dec 2018 → 31 Dec 2018

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2nd International Conference on Video and Image Processing, ICVIP 2018
Country/Territory	Hong Kong
City	Hong Kong
Period	29/12/18 → 31/12/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Access to Document

10.1145/3301506.3301550

Cite this

Auccahuasi, W., Sernaque, F., Bernardo, M., Castro, P., Núñez, E. O., & Raymundo, L. (2018). Analysis of chromatic characteristics, in satellite images for the classification of vegetation covers and deforested areas. In ICVIP 2018 - Proceedings of 2018 the 2nd International Conference on Video and Image Processing (pp. 134-139). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3301506.3301550

Auccahuasi, Wilver ; Sernaque, Fernando ; Bernardo, Madelaine et al. / Analysis of chromatic characteristics, in satellite images for the classification of vegetation covers and deforested areas. ICVIP 2018 - Proceedings of 2018 the 2nd International Conference on Video and Image Processing. Association for Computing Machinery, 2018. pp. 134-139 (ACM International Conference Proceeding Series).

@inproceedings{2e01f4e514004ea5b613c72d60ec55a5,

title = "Analysis of chromatic characteristics, in satellite images for the classification of vegetation covers and deforested areas",

abstract = "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.",

keywords = "Bands, Characteristics, Chromatic, Color bands, Dataset, Image, Image processing, Reflectance, Satellite image, Segmentation",

author = "Wilver Auccahuasi and Fernando Sernaque and Madelaine Bernardo and Percy Castro and N{\'u}{\~n}ez, \{Elizabeth Or{\'e}\} and Luis Raymundo",

note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 2nd International Conference on Video and Image Processing, ICVIP 2018 ; Conference date: 29-12-2018 Through 31-12-2018",

year = "2018",

month = dec,

day = "29",

doi = "10.1145/3301506.3301550",

language = "English",

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Auccahuasi, W, Sernaque, F, Bernardo, M, Castro, P, Núñez, EO & Raymundo, L 2018, Analysis of chromatic characteristics, in satellite images for the classification of vegetation covers and deforested areas. in ICVIP 2018 - Proceedings of 2018 the 2nd International Conference on Video and Image Processing. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 134-139, 2nd International Conference on Video and Image Processing, ICVIP 2018, Hong Kong, Hong Kong, 29/12/18. https://doi.org/10.1145/3301506.3301550

Analysis of chromatic characteristics, in satellite images for the classification of vegetation covers and deforested areas. / Auccahuasi, Wilver; Sernaque, Fernando; Bernardo, Madelaine et al.
ICVIP 2018 - Proceedings of 2018 the 2nd International Conference on Video and Image Processing. Association for Computing Machinery, 2018. p. 134-139 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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

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KW - Color bands

KW - Dataset

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KW - Image processing

KW - Reflectance

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KW - Segmentation

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M3 - Conference contribution

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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 -

Auccahuasi W, Sernaque F, Bernardo M, Castro P, Núñez EO, Raymundo L. Analysis of chromatic characteristics, in satellite images for the classification of vegetation covers and deforested areas. In ICVIP 2018 - Proceedings of 2018 the 2nd International Conference on Video and Image Processing. Association for Computing Machinery. 2018. p. 134-139. (ACM International Conference Proceeding Series). doi: 10.1145/3301506.3301550

Analysis of chromatic characteristics, in satellite images for the classification of vegetation covers and deforested areas

Abstract

Publication series

Conference

UN SDGs

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