Machine Learning and Remote Sensing Technique for Urbanization Change Detection in Tangail District

2021 ◽  
pp. 241-249
Author(s):  
Ananna Talukder ◽  
Sadia Mahbub Mim ◽  
Sabrina Ahmed ◽  
Muhammad Syed ◽  
Rashedur M. Rahman
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Change Detection ◽  
Remote Sensing Technique

scholarly journals Special Section Guest Editorial: Change Detection Using Multi-Source Remotely Sensed Imagery

2019 ◽  
Vol 11 (19) ◽  
pp. 2216
Author(s):  
Xin Huang ◽  
Jiayi Li ◽  
Francesca Bovolo ◽  
Qi Wang
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Change Detection ◽  
Guest Editorial ◽  
Special Section ◽  
Learning Technologies ◽  
Special Issue ◽  
Information Mining ◽  
Remotely Sensed Imagery ◽  
Detection Technologies

This special issue hosts papers on change detection technologies and analysis in remote sensing, including multi-source sensors, advanced machine learning technologies for change information mining, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multi-source remote sensed data was used in change detection.

scholarly journals Change Detection using Deep Learning and Machine Learning Techniques for Multispectral Satellite Images

2019 ◽  
Vol 9 (1S) ◽  
pp. 90-93
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Deep Learning ◽  
Change Detection ◽  
Research Work ◽  
Machine Learning Techniques ◽  
Remote Sensing Images ◽  
Detection Analysis ◽  
Learning Techniques ◽  
And Performance

Change detection is used to find whether the changes happened or not between two different time periods using remote sensing images. We can use various machine learning techniques and deep learning techniques for the change detection analysis using remote sensing images. This paper mainly focused on computational and performance analysis of both techniques in the application of change detection .For each approach, we considered ten different kinds of algorithms and evaluated the performance. Moreover, in this research work, we have analyzed merits and demerits of each method which have used to change detection.

scholarly journals A novel hybrid machine learning approach for change detection in remote sensing images

2020 ◽  
Vol 23 (5) ◽  
pp. 973-981
Author(s):  
Chinmayee Pati ◽  
Ashok K. Panda ◽  
Ajaya Kumar Tripathy ◽  
Sateesh K. Pradhan ◽  
Srikanta Patnaik
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Change Detection ◽  
Learning Approach ◽  
Remote Sensing Images ◽  
Machine Learning Approach ◽  
Hybrid Machine
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