Unmanned aerial vehicle-based transmission line inspections produce a large number of photos; significant manpower and time are required to inspect the abnormalities faults in such photos. As such, there has been increasing interest use computer vision algorithms automate detection defects these One most challenging problems this field is identification small pin bolts. In paper, we propose sta...

Abstract. Automatic photogrammetric processing of historical (or archival) aerial photos is still a challenging task, particularly in cases missing ancillary information, low radiometric and image quality, limited stereo coverage or large temporal span. However, with recent advances photogrammetry Artificial Intelligence (AI) algorithms for interpretation, an increasing number applications are ...

This article presents a 4D modelling approach that employs multi-temporal and historical aerial images to derive spatio-temporal information for scenes and landscapes. Such imagery represent a unique data source, which combined with photo interpretation and reality-based 3D reconstruction techniques, can offer a more complete modelling procedure because it adds the fourth dimension of time to 3...

Gully erosion is one of the most complicated and destructive forms of water erosion. In order to prevent this erosion, the important factors advancing gully head must be recognized. Nowadays, several models have been proposed in measuring gully head advancement and identifying the severity of erosion. These models must be calibrated for each country to see whether they are applicable or not. So...

This paper examines data from different sensors regarding their potential for an automatic change detection approach. After a brief discussion of the used approach, results are shown on examples of data from several sensors: scanned analogue aerial photos, an airborne digital line scanner (DPA camera system), the Indian satellite IRS-1C, the MOMS2P camera and from a laser scanning system as an ...

We propose a method based on the Hidden Markov Tree (HMT) model for multiscale image segmentation in the wavelet domain. We use the inherent tree structure of the model to segment the image at a range of different scales. We then merge these different scale segmented images using boundary refinement conditions. The final segmented image utilizes the reliability of coarse scale segmented images ...

This paper highlights the importance of using Remote Sensing and GIS for assisting the seismic risk assessment for historical town centres in Cyprus. The selected case study is the Paphos town centre including the archaeological area of Nea Paphos. The authors present their proposed methodology for inventory collection, which is based on the integrated use of aerial photos and satellite imagery...