Semantic Navigation Mapping from Aerial Multispectral Imagery

Ana Beatriz Salvado; Ricardo Mendonça; André Lourenço; Francisco Marques; J. P. Matos-Carvalho; Luis Miguel Campos; José Barata

doi:10.1109/ISIE.2019.8781301

Semantic Navigation Mapping from Aerial Multispectral Imagery

Ana Beatriz Salvado, Ricardo Mendonça, André Lourenço, Francisco Marques, J. P. Matos-Carvalho, Luis Miguel Campos, José Barata

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

15 Citations (Scopus)

Abstract

The emergence of Unmanned Aerial Vehicles (UAV) in the Precision Agriculture (PA) domain allowed decision support systems to have access to aerial images of the terrain surface. By exploiting multispectral aerial imagery, crop health analysis and terrain classification and mapping is possible. Therefore, this work proposes an open-source ROS-based (Robot Operating System) framework, capable of handling multispectral imagery and exploit it for terrain classification, building semantic maps structured by layers of vegetation, water, soil and rocks. The obtained experimental results were validated in the scope of several research projects funded by the Portuguese Rural Development Plan PDR2020, with success rates between 70% and 90%.

Original language	English
Title of host publication	Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1192-1197
Number of pages	6
ISBN (Electronic)	9781728136660
DOIs	https://doi.org/10.1109/ISIE.2019.8781301
Publication status	Published - Jun 2019
Event	28th IEEE International Symposium on Industrial Electronics, ISIE 2019 - Vancouver, Canada Duration: 12 Jun 2019 → 14 Jun 2019 Conference number: 28th

Publication series

Name	IEEE International Symposium on Industrial Electronics
Publisher	Institute of Electrical and Electronics Engineers Inc.
Volume	2019-June
ISSN (Print)	2163-5137

Conference

Conference	28th IEEE International Symposium on Industrial Electronics, ISIE 2019
Abbreviated title	ISIE 2019
Country/Territory	Canada
City	Vancouver
Period	12/06/19 → 14/06/19

Keywords

Imagery Stitching
Multispectral Imagery
Precision Agriculture
Semantic Map
UAV

Access to Document

10.1109/ISIE.2019.8781301

Cite this

Salvado, A. B., Mendonça, R., Lourenço, A., Marques, F., Matos-Carvalho, J. P., Campos, L. M., & Barata, J. (2019). Semantic Navigation Mapping from Aerial Multispectral Imagery. In Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019 (pp. 1192-1197). Article 8781301 (IEEE International Symposium on Industrial Electronics; Vol. 2019-June). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISIE.2019.8781301

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title = "Semantic Navigation Mapping from Aerial Multispectral Imagery",

abstract = "The emergence of Unmanned Aerial Vehicles (UAV) in the Precision Agriculture (PA) domain allowed decision support systems to have access to aerial images of the terrain surface. By exploiting multispectral aerial imagery, crop health analysis and terrain classification and mapping is possible. Therefore, this work proposes an open-source ROS-based (Robot Operating System) framework, capable of handling multispectral imagery and exploit it for terrain classification, building semantic maps structured by layers of vegetation, water, soil and rocks. The obtained experimental results were validated in the scope of several research projects funded by the Portuguese Rural Development Plan PDR2020, with success rates between 70% and 90%.",

keywords = "Imagery Stitching, Multispectral Imagery, Precision Agriculture, Semantic Map, UAV",

author = "Salvado, {Ana Beatriz} and Ricardo Mendon{\c c}a and Andr{\'e} Louren{\c c}o and Francisco Marques and Matos-Carvalho, {J. P.} and Campos, {Luis Miguel} and Jos{\'e} Barata",

note = "Programa de Desenvolvimento Rural 2014-2020 (PDR2020) grant agreement No 783221 Sem PDF conforme despacho.; 28th IEEE International Symposium on Industrial Electronics, ISIE 2019, ISIE 2019 ; Conference date: 12-06-2019 Through 14-06-2019",

year = "2019",

month = jun,

doi = "10.1109/ISIE.2019.8781301",

language = "English",

series = "IEEE International Symposium on Industrial Electronics",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "1192--1197",

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address = "United States",

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Salvado, AB , Mendonça, R , Lourenço, A , Marques, F , Matos-Carvalho, JP , Campos, LM & Barata, J 2019, Semantic Navigation Mapping from Aerial Multispectral Imagery. in Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019., 8781301, IEEE International Symposium on Industrial Electronics, vol. 2019-June, Institute of Electrical and Electronics Engineers (IEEE), pp. 1192-1197, 28th IEEE International Symposium on Industrial Electronics, ISIE 2019, Vancouver, British Columbia, Canada, 12/06/19. https://doi.org/10.1109/ISIE.2019.8781301

Semantic Navigation Mapping from Aerial Multispectral Imagery. / Salvado, Ana Beatriz ; Mendonça, Ricardo ; Lourenço, André et al.
Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019. Institute of Electrical and Electronics Engineers (IEEE), 2019. p. 1192-1197 8781301 (IEEE International Symposium on Industrial Electronics; Vol. 2019-June).

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

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T1 - Semantic Navigation Mapping from Aerial Multispectral Imagery

AU - Salvado, Ana Beatriz

AU - Mendonça, Ricardo

AU - Lourenço, André

AU - Marques, Francisco

AU - Matos-Carvalho, J. P.

AU - Campos, Luis Miguel

AU - Barata, José

N1 - Conference code: 28th

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AB - The emergence of Unmanned Aerial Vehicles (UAV) in the Precision Agriculture (PA) domain allowed decision support systems to have access to aerial images of the terrain surface. By exploiting multispectral aerial imagery, crop health analysis and terrain classification and mapping is possible. Therefore, this work proposes an open-source ROS-based (Robot Operating System) framework, capable of handling multispectral imagery and exploit it for terrain classification, building semantic maps structured by layers of vegetation, water, soil and rocks. The obtained experimental results were validated in the scope of several research projects funded by the Portuguese Rural Development Plan PDR2020, with success rates between 70% and 90%.

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KW - Multispectral Imagery

KW - Precision Agriculture

KW - Semantic Map

KW - UAV

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M3 - Conference contribution

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Salvado AB , Mendonça R , Lourenço A , Marques F , Matos-Carvalho JP , Campos LM et al. Semantic Navigation Mapping from Aerial Multispectral Imagery. In Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019. Institute of Electrical and Electronics Engineers (IEEE). 2019. p. 1192-1197. 8781301. (IEEE International Symposium on Industrial Electronics). doi: 10.1109/ISIE.2019.8781301

Semantic Navigation Mapping from Aerial Multispectral Imagery

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