Photogrammetric 3d Building Reconstruction From Thermal Images

Maset, Eleonora; Fusiello, Andrea; Crosilla, Fabio; Toldo, Roberto; Zorzetto, D.

doi:10.5194/isprs-annals-iv-2-w3-25-2017

Cited by 29 publications

(28 citation statements)

References 26 publications

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“…Matched linear features are used for the refinement of the exterior orientation parameters of the camera in order to ensure optimal coregistration. Maset et al 2017 in his research first evaluated the potential of thermal data for automatic 3D modelling and second assessed the ICP model ability to register thermal and visible point clouds (Maset et al, 2017). He generated thermal and visible point clouds separately and after registering them, thermal texture is added to the mesh generated from visible point cloud.…”

Section: Literature Reviewmentioning

confidence: 99%

Thermal 3d Models Enhancement Based on Integration With Visible Imagery

Javan

Savadkouhi

2019

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

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Abstract. In the last few years, Unmanned Aerial Vehicles (UAVs) are being frequently used to acquire high resolution photogrammetric images and consequently producing Digital Surface Models (DSMs) and orthophotos in a photogrammetric procedure for topography and surface processing applications. Thermal imaging sensors are mostly used for interpretation and monitoring purposes because of lower geometric resolution. But yet, thermal mapping is getting more important in civil applications, as thermal sensors can be used in condition that visible sensors cannot, such as foggy weather and night times which is not possible for visible cameras. But, low geometric quality and resolution of thermal images is a main drawback that 3D thermal modelling are encountered with. This study aims to offer a solution for to fixing mentioned problem and generating a thermal 3D model with higher spatial resolution based on thermal and visible point clouds integration. This integration leads to generate a more accurate thermal point cloud and DEM with more density and resolution which is appropriate for 3D thermal modelling. The main steps of this study are: generating thermal and RGB point clouds separately, registration of them in two course and fine level and finally adding thermal information to RGB high resolution point cloud by interpolation concept. Experimental results are presented in a mesh that has more faces (With a factor of 23) which leads to a higher resolution textured mesh with thermal information.

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Section: Literature Reviewmentioning

confidence: 99%

Thermal 3d Models Enhancement Based on Integration With Visible Imagery

Javan

Savadkouhi

2019

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

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“…Moreover, the co-registration of images taken with both RGB and TIR cameras can give advantages in terms of accuracy and density of the resulting 3D point cloud . Maset et al (2017) show that a commercial computer vision software can be used to automatically orient sequences of TIR images taken from an UAV and to generate 3D point clouds, without requiring any Global Navigation Satellite System (GNSS) and Inertial Navigation System (INS) data about position and attitude of the images. The georeferencing including scaling is done subsequently, exploiting at least three GCPs.…”

Section: Related Workmentioning

confidence: 99%

“…Thermal imaging systems were originally developed for military use, however nowadays thermal imaging cameras have migrated into other areas and have found many uses in fields like surveillance activities, as subsidiary tool for firefighters, power line and examination of thermal insulation of buildings. Inspection of building envelopes with TIR images is used to detect heat losses, cracks, thermal bridges, air leakages, insulation problems in walls and roofs, moisture sources and other issues with thermal signature (Maset et al 2017). Thermal imaging cameras mounted on UAV systems thus allow an easy inspection not only of the facades, but also of the building roof, that cannot be captured by terrestrial images.…”

Section: Introductionmentioning

confidence: 99%

Thermal Ir Imaging: Image Quality and Orthophoto Generation

Sledz

Unger

Heipke

2018

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

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<p><strong>Abstract.</strong> This paper deals with two aspects of photogrammetric processing of thermal images: image quality and 3D reconstruction quality. The first aspect of the paper relates to the influence of day light on Thermal InfraRed (TIR) images captured by an Unmanned Aerial Vehicle (UAV). Environmental factors such as ambient temperature and lack of sun light affect TIR image quality. We acquire image sequences of the same object during day and night and compare the generated orthophotos according to different metrics like contrast and signal-to-noise ratio (SNR). Our experiments show that performing TIR image acquisition during night time provides a better thermal contrast, regardless of whether we compute contrast over the whole image or over small patches. The second aspect investigated in this work is the potential of using TIR images for photogrammetric tasks such as the automatic generation of Digital Surface Models (DSM) and orthophotos. Due to the low geometrical resolution of a TIR camera and the low image quality in terms of contrast and noise compared to RGB images, the TIR DSM suffers from reconstruction errors and an orthophoto generated using the TIR DSM and TIR images is visibly influenced by those errors. We therefore include measurements of the UAVs positions during image capturing provided by a Global Navigation Satellite System (GNSS) receiver to retrieve position and orientation of TIR and RGB images in the same world coordinate system. To generate an orthophoto from TIR images, they are projected onto the DSM reconstructed from RGB images. This procedure leads to a TIR orthophoto of much higher quality in terms of geometrical correctness.</p>

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“…Harwin and Lucieer, 2012;Westoby et al, 2012). However, the introduction of the structure-from-motion (SfM) photogrammetric method automatically computes camera poses, together with reconstructing environments using an iterative bundle adjustment technique that matches common features within the overlapping images (Harwin and Lucieer, 2012;Maset et al, 2017;Tarigan et al, 2017;Westoby et al, 2012). Software solutions such as Agisoft PhotoScan, Pix4D, Autodesk ReCap, Reality Capture, and PhotoModeler are able to perform the bundle adjustment to solve the camera position(s) and orientation (Harwin and Lucieer, 2012).…”

Section: Introductionmentioning

confidence: 99%

Combining thermal imaging with photogrammetry of an active volcano using UAV: an example from Stromboli, Italy

Wakeford

Chmielewska

Hole

et al. 2019

The Photogrammetric Record

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Volcanoes are a potential hazard to over 750 million people worldwide. Accessing them to install monitoring equipment can be logistically challenging and dangerous. Traditional monitoring equipment is expensive and not available to many communities living within the hazardous region. We propose a potential new, low-cost method to address these challenges using a unique 3D thermal photogrammetric modelling workflow. The data acquisition and procession part of this workflow has been tested on Stromboli, a volcano in the Aeolian Islands of Italy and an excellent natural laboratory for volcano monitoring. Unmanned aerial vehicles were deployed at the volcano to acquire both visual and thermal infrared imagery. Both datasets were then digitally processed to produce respective 3D virtual outcrop models. Finally, the two datasets and models were integrated to produce the first 3D thermal photogrammetric model of an active volcano. The result is an easy-to-use workflow applicable to any volcano in the world. This low-cost monitoring system could be deployed in developing countries and remote areas otherwise hindered by limited budgets and access.

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Photogrammetric 3d Building Reconstruction From Thermal Images

Cited by 29 publications

References 26 publications

Thermal 3d Models Enhancement Based on Integration With Visible Imagery

Thermal 3d Models Enhancement Based on Integration With Visible Imagery

Thermal Ir Imaging: Image Quality and Orthophoto Generation

Combining thermal imaging with photogrammetry of an active volcano using UAV: an example from Stromboli, Italy

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