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Abstract
Quick post-disaster actions demand automated, rapid and detailed building damage assessment. Among the available technologies, post-event oblique airborne images have already shown their potential for this task. However, existing methods usually compensate the lack of pre-event information with aprioristic assumptions of building shapes and textures that can lead to uncertainties and misdetections. However, oblique images have been already captured over many cities of the world, and the exploitation of pre- and post-event data as inputs to damage assessment is readily feasible in urban areas. In this paper, we investigate the potential of multi-temporal oblique imagery for detailed damage assessment focusing on two methodologies: the first method aims at detecting severe structural damages related to geometrical deformation by combining the complementary information provided by photogrammetric point clouds and oblique images. The developed method detected 87% of damaged elements. The failed detections are due to varying noise levels within the point cloud which hindered the recognition of some structural elements. We observed, in general that the façade regions are very noisy in point clouds. To address this, we propose our second method which aims to detect damages to building façades using the oriented oblique images. The results show that the proposed methodology can effectively differentiate among the three proposed categories: collapsed/highly damaged, lower levels of damage and undamaged buildings, using a computationally light-weight approach. We describe the implementations of the above mentioned methods in detail and present the promising results achieved using multi-temporal oblique imagery over the city of L’Aquila (Italy).
Highlights
INTRODUCTION & RELATED WORKSStructural damage assessment is an imperative process to be carried out immediately after the disaster event for effective planning and execution of response and recovery actions
3.2.4 Results of change classification: For the change classification process, the missing elements identified by the segment-based approach were considered
Two independent methodologies were developed to identify the structural damages by utilizing both 2D and 3D information derived from multi-temporal, pre- and postevent oblique images
Summary
INTRODUCTION & RELATED WORKSStructural damage assessment is an imperative process to be carried out immediately after the disaster event for effective planning and execution of response and recovery actions. Airborne images are captured with high overlap, and the generated point clouds can be exploited in the damage assessment process as well (Sui et al, 2014). Geometrically more stable cameras are used nowadays in oblique airborne systems, many data sets are captured with less sophisticated camera systems, and image overlap is often restricted to 2-fold. For such configurations one has to cope with dense image matching point clouds of minor quality (relatively large random error margin, gaps). The proposed methods take advantage of both 2D and 3D information and efficiently cope with these problems
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