• Heru Purnomo Ipung
• Handayani Tjandrasa
• Arko Djajadi

Classification performance analysis was done on selected narrowband near-infrared spectrum to identify urban road materials. There were five urban road materials to be identified; aggregate, asphalt, carbon organic, clay and concrete. The imaging indexes were selected that proposed a set of narrowband 760nm, 800nm, 850nm, 900nm, 950nm, 980nm with 720nm wide-band spectrum as normalization spectrum. Multilayer perceptron classification method was used. The result was presented where a significant classification performance shown on those five urban road materials with 76.6032 % using 10 fold cross validation on data data samples. A separate test data samples used for further predictions and visualization.

Imaging indexes, near-infrared, feature classifier, prediction and visualization, multilayer perceptron

"Object identification and visualization of urban road materials using narrowband near infrared imaging indexes", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.335-340, April-2019, Available :http://www.jetir.org/papers/JETIRBF06065.pdf

"Object identification and visualization of urban road materials using narrowband near infrared imaging indexes", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp335-340, April-2019, Available at : http://www.jetir.org/papers/JETIRBF06065.pdf