Image georegistration methods: A framework for application guidelines

Doucette, Peter; Antonisse, Jim; Braun, Aaron; Lenihan, Michael; Brennan, Michelle

doi:10.1109/aipr.2013.6749317

“…Image matching is defined as computing correspondence between a pair of images and is intensely used in computer vision for various purposes like image registration (Doucette, et al, 2013), stereo vision (Mur-Artal & Tardos, 2017), image stitching/mosaicking (Ghosh & Kaabouch, 2016), image stabilization (for motion detection) (Brox & Malik, 2011), object detection (Cheng & Han, 2016), visual odometry (Sanfourche, et al, 2012), pose estimation (Lu, Xue, Xia, & Zhang, 2018), simultaneous localization and mapping (Taketomi, et al, 2017) and many more.…”

Section: Introductionmentioning

confidence: 99%

“…We would like to thank editorial board of IJEGEO for the publication of these works in the symposium. (Doucette, et al, 2013), stereo vision (Mur-Artal & Tardos, 2017), image stitching/mosaicking (Ghosh & Kaabouch, 2016), image stabilization (for motion detection) (Brox & Malik, 2011), object detection (Cheng & Han, 2016), visual odometry (Sanfourche, et al, 2012), pose estimation (Lu, Xue, Xia, & Zhang, 2018), simultaneous localization and mapping (Taketomi, et al, 2017) and many more. Homogeneous distribution of image features used for image matching is crucial for the quality of the matching since the computed transformation should cover the whole image area as much as possible for gaining better accuracy (Zhu, et al, 2006).…”

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confidence: 99%

A Method to Enhance Homogeneous Distribution of Matched Features for Image Matching

Gülmez¹,

Demirtaş²,

Yildirim³

et al. 2020

International Journal of Environment and Geoinformatics

1

0

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Dear colleagues and friends, X. TUFUAB Technical Symposium was held in Aksaray on 25-27, April 2019. The Symposium was carried out by the organizations of Aksaray University and General Directorate of Mapping. As a international symposium in the field of photogrammetry and remote sensing, X.TUFUAB Technical Symposium 2019 is devoted to promote the advancement of knowledge, research, development, education and training in Geographical Information Sciences, Information Technology, Environmental Management and Resources, Sustainable Agriculture, Surveying, Photogrammetry and Remote Sensing, their integration and applications, as to contribute to the well-being of humanity and the sustainability of the environment. 425 participants and scientists from 7 countries were attended to this symposium. 125 oral presentations and 10 poster presentations were presented during the symposium. 135 presentations take place in 25 sessions in two days.

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“…We would like to thank editorial board of IJEGEO for the publication of these works in the symposium. (Doucette, et al, 2013), stereo vision (Mur-Artal & Tardos, 2017), image stitching/mosaicking (Ghosh & Kaabouch, 2016), image stabilization (for motion detection) (Brox & Malik, 2011), object detection (Cheng & Han, 2016), visual odometry (Sanfourche, et al, 2012), pose estimation (Lu, Xue, Xia, & Zhang, 2018), simultaneous localization and mapping (Taketomi, et al, 2017) and many more.…”

mentioning

confidence: 99%

A Method to Enhance Homogeneous Distribution of Matched Features for Image Matching

Gülmez¹,

Demirtaş²,

Yildirim³

et al. 2019

International Journal of Environment and Geoinformatics

0

View full text Add to dashboard Cite

Dear colleagues and friends, X. TUFUAB Technical Symposium was held in Aksaray on 25-27, April 2019. The Symposium was carried out by the organizations of Aksaray University and General Directorate of Mapping. As a international symposium in the field of photogrammetry and remote sensing, X.TUFUAB Technical Symposium 2019 is devoted to promote the advancement of knowledge, research, development, education and training in Geographical Information Sciences, Information Technology, Environmental Management and Resources, Sustainable Agriculture, Surveying, Photogrammetry and Remote Sensing, their integration and applications, as to contribute to the well-being of humanity and the sustainability of the environment. 425 participants and scientists from 7 countries were attended to this symposium. 125 oral presentations and 10 poster presentations were presented during the symposium. 135 presentations take place in 25 sessions in two days.

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“…5 A broad classication of geo-registration solutions can be done according to the dimension of the geo-referenced data: 2D if the system uses a collection of geo-referenced images, 3,6 or 3D if the system has an explicit terrain elevation map (e.g., DEM). In the latter case, some approaches use textured models, 7 while others do not.…”

mentioning

confidence: 99%

Aerial video georegistration using terrain models from dense and coherent stereo matching

Ruano

¹

,

Gallego

²

,

Cuevas

³

et al. 2014

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In the context of aerial imagery, one of the rst steps toward a coherent processing of the information contained in multiple images is geo-registration, which consists in assigning geographic 3D coordinates to the pixels of the image. This enables accurate alignment and geo-positioning of multiple images, detection of moving objects and fusion of data acquired from multiple sensors. To solve this problem there are dierent approaches that require, in addition to a precise characterization of the camera sensor, high resolution referenced images or terrain elevation models, which are usually not publicly available or out of date. Building upon the idea of developing technology that does not need a reference terrain elevation model, we propose a geo-registration technique that applies variational methods to obtain a dense and coherent surface elevation model that is used to replace the reference model. The surface elevation model is built by interpolation of scattered 3D points, which are obtained in a two-step process following a classical stereo pipeline: rst, coherent disparity maps between image pairs of a video sequence are estimated and then image point correspondences are back-projected. The proposed variational method enforces continuity of the disparity map not only along epipolar lines (as done by previous geo-registration techniques) but also across them, in the full 2D image domain. In the experiments, aerial images from synthetic video sequences have been used to validate the proposed technique.

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Image georegistration methods: A framework for application guidelines

Cited by 7 publications

References 16 publications

A Method to Enhance Homogeneous Distribution of Matched Features for Image Matching

A Method to Enhance Homogeneous Distribution of Matched Features for Image Matching

A Method to Enhance Homogeneous Distribution of Matched Features for Image Matching

Aerial video georegistration using terrain models from dense and coherent stereo matching

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