| BUILT UP CHANGE DETECTION BASED ON STRUCTURAL CLASSIFICATION OF DIGITAL ELEVATION MODELS |
| Paper ID : 1073-SMPR |
| Authors: |
|
Seyedeh Sharareh Hosseini *1, Fatemeh Tabib Mahmoudi2, Ahmad Abootalebi3 1Dept of Geomatics, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University 2Dept of Geomatics, Faculty of Civil engineering, Shahid Rajaee Teacher Training University, Tehran, Iran 3NCC organization |
| Abstract: |
| Multi temporal changes in built up areas are mainly caused by natural disasters (such as floods and earthquakes) or urban sprawl. Detecting these changes which consist of construction, demolition and renovation of buildings can play an important role in updating 3D city models and making the right decisions for urban management. Generally, change detection methods based on multi temporal remotely sensed data can be divided into 2D and 3D categories. Three dimensional change detection methods are suitable for identifying the changes of three dimensional objects such as buildings and their results are more close to reality. The objective of this study is to provide an effective method for 3D change detection of buildings in urban areas based on Digital Elevation Models (DEM). The proposed method in this paper consists of three main steps; 1) generating DSM, DTM and normalized DSM for two epochs, 2) performing segmentation and structural classification of image segments in order to generate multi temporal classification maps, 3) producing the change maps. The obtained results of this study investigate the changes due to constructing new buildings and renovation of buildings. |
| Keywords: |
| Buildings, Normalized DSM, Segmentation, Structural Classification, Change Detection, Reconstruction |
| Status : Conditional Accept (Poster) |
