TY - GEN
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 - Programa de Desenvolvimento Rural 2014-2020 (PDR2020)
grant agreement No 783221
Sem PDF conforme despacho.
PY - 2019/6
Y1 - 2019/6
N2 - 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%.
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%.
KW - Imagery Stitching
KW - Multispectral Imagery
KW - Precision Agriculture
KW - Semantic Map
KW - UAV
UR - http://www.scopus.com/inward/record.url?scp=85070633813&partnerID=8YFLogxK
U2 - 10.1109/ISIE.2019.8781301
DO - 10.1109/ISIE.2019.8781301
M3 - Conference contribution
AN - SCOPUS:85070633813
T3 - IEEE International Symposium on Industrial Electronics
SP - 1192
EP - 1197
BT - Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th IEEE International Symposium on Industrial Electronics, ISIE 2019
Y2 - 12 June 2019 through 14 June 2019
ER -