This study compared classifiers that differentiate between urbanized and non-urbanized areas based on unmanned aerial vehicle (UAV)-acquired RGB imagery. The tested solutions included numerous vegetation indices (VIs) thresholding and neural networks (NNs). The analysis was conducted for two study areas for which surveys were carried out using different UAVs and cameras. The ground sampling distances for the study areas were 10 mm and 15 mm, respectively. Reference classification was performed manually, obtaining approximately 24 million classified pixels for the first area and approximately 3.8 million for the second. This research study included an analysis of the impact of the season on the threshold values for the tested VIs and the impact of image patch size provided as inputs for the NNs on classification accuracy. The results of the conducted research study indicate a higher classification accuracy using NNs (about 96%) compared with the best of the tested VIs, i.e., Excess Blue (about 87%). Due to the highly imbalanced nature of the used datasets (non-urbanized areas constitute approximately 87% of the total datasets), the Matthews correlation coefficient was also used to assess the correctness of the classification. The analysis based on statistical measures was supplemented with a qualitative assessment of the classification results, which allowed the identification of the most important sources of differences in classification between VIs thresholding and NNs.
机构:
Univ Las Palmas Gran Canaria, Unidad Asociada ULPGC CSIC, Inst Oceanog & Cambio Global, Campus Univ Tafira, Las Palmas Gran Canaria 35017, SpainUniv Las Palmas Gran Canaria, Unidad Asociada ULPGC CSIC, Inst Oceanog & Cambio Global, Campus Univ Tafira, Las Palmas Gran Canaria 35017, Spain
Mederos-Barrera, Antonio
Sevilla, Jose
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Fdn Sect Publ Estatal Observ Ambiental Granadilla, Via Interior Puerto Santa Cruz Tenerife,Edificio P, Santa Cruz De Tenerife 38001, SpainUniv Las Palmas Gran Canaria, Unidad Asociada ULPGC CSIC, Inst Oceanog & Cambio Global, Campus Univ Tafira, Las Palmas Gran Canaria 35017, Spain
Sevilla, Jose
Marcello, Javier
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Univ Las Palmas Gran Canaria, Unidad Asociada ULPGC CSIC, Inst Oceanog & Cambio Global, Campus Univ Tafira, Las Palmas Gran Canaria 35017, SpainUniv Las Palmas Gran Canaria, Unidad Asociada ULPGC CSIC, Inst Oceanog & Cambio Global, Campus Univ Tafira, Las Palmas Gran Canaria 35017, Spain
Marcello, Javier
Espinosa, Jose Maria
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Fdn Sect Publ Estatal Observ Ambiental Granadilla, Via Interior Puerto Santa Cruz Tenerife,Edificio P, Santa Cruz De Tenerife 38001, SpainUniv Las Palmas Gran Canaria, Unidad Asociada ULPGC CSIC, Inst Oceanog & Cambio Global, Campus Univ Tafira, Las Palmas Gran Canaria 35017, Spain
机构:
Geosciences Institute, University of Campinas, PO Box 6152, Campinas,SP,13083-855, BrazilGeosciences Institute, University of Campinas, PO Box 6152, Campinas,SP,13083-855, Brazil
Lassalle, Guillaume
Ferreira, Matheus Pinheiro
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Cartographic Engineering Department, Military Institute of Engineering (IME), Praça Gen. Tibúrcio 80, Rio de Janeiro,RJ,22290-270, BrazilGeosciences Institute, University of Campinas, PO Box 6152, Campinas,SP,13083-855, Brazil
Ferreira, Matheus Pinheiro
La Rosa, Laura Elena Cué
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Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro (PUC), R. Marquês de São Vicente 225, Rio de Janeiro,RJ,22541-041, BrazilGeosciences Institute, University of Campinas, PO Box 6152, Campinas,SP,13083-855, Brazil
La Rosa, Laura Elena Cué
de Souza Filho, Carlos Roberto
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Geosciences Institute, University of Campinas, PO Box 6152, Campinas,SP,13083-855, BrazilGeosciences Institute, University of Campinas, PO Box 6152, Campinas,SP,13083-855, Brazil
机构:
Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
Beijing Normal Univ, Coll Resources Sci & Technol, Beijing 100875, Peoples R ChinaBeijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
Chen, Qiang
Chen, Yunhao
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Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
Beijing Normal Univ, Coll Resources Sci & Technol, Beijing 100875, Peoples R ChinaBeijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
Chen, Yunhao
Jiang, Weiguo
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Beijing Normal Univ, Coll Resources Sci & Technol, Beijing 100875, Peoples R China
Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Minist Civil & Minist Educ, Beijing 100875, Peoples R ChinaBeijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
机构:
Univ Estadual Campinas, Geosci Inst, POB 6152, BR-13083855 Campinas, SP, Brazil
Univ Estadual Campinas, UNICAMP, POB 6152, BR-13083855 Campinas, SP, BrazilUniv Estadual Campinas, Geosci Inst, POB 6152, BR-13083855 Campinas, SP, Brazil
Lassalle, Guillaume
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Ferreira, Matheus Pinheiro
La Rosa, Laura Elena Cue
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Pontif Catholic Univ Rio de Janeiro PUC, Dept Elect Engn, R Marques de Sao Vicente 225, BR-22541041 Rio De Janeiro, RJ, BrazilUniv Estadual Campinas, Geosci Inst, POB 6152, BR-13083855 Campinas, SP, Brazil
La Rosa, Laura Elena Cue
de Souza Filho, Carlos Roberto
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h-index: 0
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Univ Estadual Campinas, Geosci Inst, POB 6152, BR-13083855 Campinas, SP, BrazilUniv Estadual Campinas, Geosci Inst, POB 6152, BR-13083855 Campinas, SP, Brazil