Research Communication | Open Access
Volume 2019 | Communication ID 134
Transfer learning and Deep Encoder-Decoder architecture for buildings segmentation
Abdelilah Adiba, Hajji Hicham, Mustapha Maatouk
Academic Editor: Youssef EL FOUTAYENI
Received
Accepted
Published
Jan 29, 2019
Feb 26, 2019
Mar 01, 2019

Abstract: Monitoring urban development and change has often been a tedious task that requires a huge amount of spatial datasets that need to be processed and explored for extracting meaningful information. Remote sensing imageries represent an example of such datasets that can give users and decision makers a precise description of their territories. However, in order to give such description one should explore inner semantic and structural patterns that are contained in satellite imageries, which is often a very complex task and more frequently a difficult one. Such description can be obtained by ...










The first International Conference on Research in Applied Mathematics and Computer Science (ICRAMCS 2019)