Investigations on the Bundle Adjustment Results From SFM-Based Software for Mapping Purposes

Abstract

ABSTRACT:Since its first inception, aerial photography has been used for topographic mapping. Large-scale aerial photography contributed to the creation of many of the topographic maps around the world. In Indonesia, a 2013 government directive on spatial management has re-stressed the need for topographic maps, with aerial photogrammetry providing the main method of acquisition. However, the large need to generate such maps is often limited by budgetary reasons. Today, SfM (Structure-from-Motion) offers quicker and less expensive solutions to this problem. However, considering the required precision for topographic missions, these solutions need to be assessed to see if they provide enough level of accuracy. In this paper, a popular SfM-based software Agisoft PhotoScan is used to perform bundle adjustment on a set of large-scale aerial images. The aim of the paper is to compare its bundle adjustment results with those generated by more classical photogrammetric software, namely Trimble Inpho and ERDAS IMAGINE. Furthermore, in order to provide more bundle adjustment statistics to be compared, the Damped Bundle Adjustment Toolbox (DBAT) was also used to reprocess the PhotoScan project. Results show that PhotoScan results are less stable than those generated by the two photogrammetric software programmes. This translates to lower accuracy, which may impact the final photogrammetric product.

Assessing the Impact of Marine Tourism and Protection on Cultural Ecosystem Services Using Integrated Approach: A Case Study of Gili Matra Islands

“…However, other visibility features did not significantly influence. This may be due to the flat terrain of Gili Matra Islands [58,59] reducing visibility.…”

Automatic Workflow for Roof Extraction and Generation of 3D CityGML Models from Low-Cost UAV Image-Derived Point Clouds

“…Aerial mapping has long been employed for topographic operations covering large areas [9]. Photogrammetry has a long history in this role, starting with classical nadir image stereo observations [1] and augmented by dense image matching [2] and structure-from-motion algorithms [10,11].…”

“…This includes a longer workflow involved to process the images compared to ALS' relatively simple workflow, thus introducing more human intervention and consequently more room for error. Nevertheless, proper photogrammetric processing is essential to ensure its geometric qualities [9,17,18]. That being said, photogrammetry, especially when employed with UAVs, remains a very interesting solution due its lower overall cost.…”

Predicting the Accuracy of Photogrammetric 3d Reconstruction From Camera Calibration Parameters Through a Multivariate Statistical Approach

“…Conversely, Saponaro et al, (2019b), Padró et al, (2019), Rangel et al, (2017) explored the impact of georeferencing strategies on the obtained accuracy in order to minimize the data acquisition and processing efforts without losing quality in the final products. Lumban-Gaol et al, (2018) and Benassi et al, (2017), instead, analysed the importance of the rational parameterization during the orientation phase by applying a different dedicated environment and they evaluated the metric consistency of the achievable results. The second issue (cost of equipment and processing data time) was tackled by equipping the UAVs with a low-cost light digital camera, with the consequent requirement for a calibration procedure during the metric reconstruction phase in order to increase the final 3D models accuracy (Salvi et al, 2002).…”