Change detection for map updating using very high resolution satellite images
ABSTRACTThe earth surface changes continuously due to the natural causes and human activities. New generations of satellite sensors, such as WorldView and GeoEye, provide new data to better delineate, track and visualise changes in land cover. A number of classes are used in the satellite images....
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | Arabic |
| Published: |
Assiut University, Faculty of Engineering
2021-07-01
|
| Series: | JES: Journal of Engineering Sciences |
| Subjects: | |
| Online Access: | https://jesaun.journals.ekb.eg/article_171795_0dc37fb0677decba52c2659f40c170ee.pdf |
| _version_ | 1797961776409608192 |
|---|---|
| author | Yasser Gaber Nasser Ahmed Farrag Ali Farrag |
| author_facet | Yasser Gaber Nasser Ahmed Farrag Ali Farrag |
| author_sort | Yasser Gaber |
| collection | DOAJ |
| description | ABSTRACTThe earth surface changes continuously due to the natural causes and human activities. New generations of satellite sensors, such as WorldView and GeoEye, provide new data to better delineate, track and visualise changes in land cover. A number of classes are used in the satellite images. All artefacts with elevations greater than the ground surface (buildings in particular) may appear in a wrong location. The correction of buildings position is an important task for mapping applications. The main aim of this study is to introduce a change detection approach using very high resolution satellite images (VHR) for map updating. In this approach, an approximated method for building relief displacement correction was developed.In this paper, image preprocessing was carried out and information content of the satellite image was evaluated. Then change detection between GeoEye-1 image and Sohag map was carried out using post-classification comparison technique. After that the change map result was divided into two classes: building and non-building. All objects were transformed from raster to vector format. For building objects, the height was estimated. A python code was written to calculate relief displacement using buildings height and shadow length. The vector layer was added to update the reference map. The results showed the ability of very high-resolution satellites images for updating large scale maps in Egypt. Also, the approximated method for building relief displacement correction is a promising method. It has RMSE accuracy of 0.95m. |
| first_indexed | 2024-04-11T01:03:00Z |
| format | Article |
| id | doaj.art-547a035c0e624021b41495e3bc4d8b50 |
| institution | Directory Open Access Journal |
| issn | 1687-0530 2356-8550 |
| language | Arabic |
| last_indexed | 2024-04-11T01:03:00Z |
| publishDate | 2021-07-01 |
| publisher | Assiut University, Faculty of Engineering |
| record_format | Article |
| series | JES: Journal of Engineering Sciences |
| spelling | doaj.art-547a035c0e624021b41495e3bc4d8b502023-01-04T14:21:48ZaraAssiut University, Faculty of EngineeringJES: Journal of Engineering Sciences1687-05302356-85502021-07-0149No 442444510.21608/jesaun.2021.67949.1039171795Change detection for map updating using very high resolution satellite imagesYasser Gaber0Nasser Ahmed1Farrag Ali Farrag2Civil Engineering Department, Faculty of Engineering, Sohag UniversityCivil Engineering Department, Faculty of Engineering, Sohag UniversityProf. of Surveying and Photogrammetry, Civil Engineering Department, Faculty of Engineering, Assiut University.ABSTRACTThe earth surface changes continuously due to the natural causes and human activities. New generations of satellite sensors, such as WorldView and GeoEye, provide new data to better delineate, track and visualise changes in land cover. A number of classes are used in the satellite images. All artefacts with elevations greater than the ground surface (buildings in particular) may appear in a wrong location. The correction of buildings position is an important task for mapping applications. The main aim of this study is to introduce a change detection approach using very high resolution satellite images (VHR) for map updating. In this approach, an approximated method for building relief displacement correction was developed.In this paper, image preprocessing was carried out and information content of the satellite image was evaluated. Then change detection between GeoEye-1 image and Sohag map was carried out using post-classification comparison technique. After that the change map result was divided into two classes: building and non-building. All objects were transformed from raster to vector format. For building objects, the height was estimated. A python code was written to calculate relief displacement using buildings height and shadow length. The vector layer was added to update the reference map. The results showed the ability of very high-resolution satellites images for updating large scale maps in Egypt. Also, the approximated method for building relief displacement correction is a promising method. It has RMSE accuracy of 0.95m.https://jesaun.journals.ekb.eg/article_171795_0dc37fb0677decba52c2659f40c170ee.pdfmap updatingchange detectionrelief displacement |
| spellingShingle | Yasser Gaber Nasser Ahmed Farrag Ali Farrag Change detection for map updating using very high resolution satellite images JES: Journal of Engineering Sciences map updating change detection relief displacement |
| title | Change detection for map updating using very high resolution satellite images |
| title_full | Change detection for map updating using very high resolution satellite images |
| title_fullStr | Change detection for map updating using very high resolution satellite images |
| title_full_unstemmed | Change detection for map updating using very high resolution satellite images |
| title_short | Change detection for map updating using very high resolution satellite images |
| title_sort | change detection for map updating using very high resolution satellite images |
| topic | map updating change detection relief displacement |
| url | https://jesaun.journals.ekb.eg/article_171795_0dc37fb0677decba52c2659f40c170ee.pdf |
| work_keys_str_mv | AT yassergaber changedetectionformapupdatingusingveryhighresolutionsatelliteimages AT nasserahmed changedetectionformapupdatingusingveryhighresolutionsatelliteimages AT farragalifarrag changedetectionformapupdatingusingveryhighresolutionsatelliteimages |