Identification of river hydromorphological features using Viola-Jones algorithm

• Main Authors: Cuevas, Jerome, Chua, Alvin, Sybingco, Edwin, Bakar, Elmi Abu
• Format: text
• Published: Animo Repository 2017
• Subjects: Quadrotor helicopters; Remote sensing; Rivers > Remote sensing; Mechanical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3475; https://animorepository.dlsu.edu.ph/context/faculty_research/article/4477/type/native/viewcontent/TENCON.2016.7848439
• Institution: De La Salle University

In this paper, a quadcopter equipped with a camera was used to capture images from a river. These captured images were used as training data in the detection program used to detect the hydromorphological features in the area of the river such as trees, roofs, roads and the shore. The Viola-Jones Algorithm was used in order to detect, identify and recognize hydromorphological features due to its speed and simplicity of implementation. Testing was done using different images to verify the effectiveness of detection. System evaluation and success of the appropriateness of the Viola-Jones Algorithm was determined using the percentage of correct detected features in the image. The study showed that the Viola-Jones has shown that it is effective in detecting some features due to the complexity of the hydromorphological images. © 2016 IEEE.