Change Detection in a Topographic Building Database Using Submetric Satellite Images

Bris, Arnaud Le; Chehata, Nesrine

doi:10.5194/isprsarchives-xxxviii-3-w22-25-2011

Cited by 12 publications

(16 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other methods based on image radiometry, e.g., shadows and roof colors (Benedek et al, 2012), exist but they depend on the studied scene types (Olsen, 2004). One can note that, when available, DSM highly improves the classification results (Le Bris and Chehata, 2011). Even if change detection and AD have in common geometrical extraction of features and a classification issue, they differ in several points.…”

Section: Related Workmentioning

confidence: 99%

Quality evaluation of 3D city building Models with automatic error diagnosis

Michelin

Tierny²,

Tupin³

et al. 2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:Automatic building modelling allows a cost effective access to 3D semantic information of cities. However, even state-of-the-art algorithms have intrinsic limits and many errors exist in 3D reconstructions, requiring expensive manual corrections. A new approach is proposed in this paper for the automatic diagnosis of 3D building databases in urban areas. A novel error taxonomy which allows a subsequent high-level diagnosis is first proposed. Then, relevant raster and vector features are extracted from very high resolution multi-view images and Digital Surface Models so as that to retrieve such errors. In a supervised way, a set of functions is presented in order to take high-level decisions from these low-level features. Experiments on 355 buildings in an European dense city center with 10 cm airborne images demonstrate the high accuracy on error detection and show promising results.

show abstract

Section: Related Workmentioning

confidence: 99%

Quality evaluation of 3D city building Models with automatic error diagnosis

Michelin

Tierny²,

Tupin³

et al. 2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…This leads to reduction of computation volumes, because this study had been considered that the changes between outdated map and new dataset has been derived from urban developments. One of the advantages of proposed method for building map updating is to take into account the available small building polygons (area<50 m 2 ) in change detection process, while in many change detection studies (Ioannidis et al, 2009;Le Bris and Chehata, 2011;Matikainen et al, 2010), these type of buildings are not considered and are removed in change detection step. For future work, a 3D map containing height information for building polygons can be used as outdated map database which leads to detect 3D changes of buildings that are still an interesting topic in this field.…”

Section: Discussionmentioning

confidence: 99%

“…Bouziani et al (2010) has used contextual information that is derived from map data and then has performed object-based classification using fuzzy rules to find changed buildings. Le Bris et al (2011) has tested both image-map and image-image change detection strategy. In another study, Malpica et al (2013) has used map-guided method for building change detection.…”

Section: Introductionmentioning

confidence: 99%

Automatic Building Map Updating Using Worldview-2 Stereo Images and Existing Outdated Building Map

Gharibi

Arefi

Rastiveis

et al. 2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:Updating of existing geo-database, particularly in developing countries, is one of the important and essential issues in geospatial information systems. Numerous change detection methods have been proposed to resolve this issue. In this study, a novel approach is proposed for automatic building change detection and updating from available outdated building map and products of satellite stereo images. The proposed method consists of four steps. In the first step, preliminary building outline for a candidate building is extracted from available old polygon and DSM based on an active contour model. Then, some change detection rules are considered to find out whether or not the building has been changed. If changes are detected, the following third and fourth steps based on a hierarchical approach, run to generate precise changed building outline. The proposed method is tested and evaluated using sample dataset from Tunis City and the obtained results prove the feasibility of this algorithm for automatic building map updating using high resolution stereo satellite images.

show abstract

“…The current method has significant challenges as the manual approach has proved to be time and human resource consuming, which is not a unique problem as also experienced by mapping agencies around the world (Le Bris & Chehata, 2011). This has resulted to certain areas of the country within the iTIS geo-spatial database to be continuously out-dated.…”

Section: Introductionmentioning

confidence: 99%