scholarly journals APPLICATION OF IMPROVED ACCURACY SFM-MVS FOR PHOTOGRAMMETRIC RESTITUTION AND COMPARISON OF PRE- AND POST-ERUPTION ARCHIVAL AERIAL IMAGERY ON DECEPTION ISLAND (SOUTH SHETLAND, ANTARCTICA)

2021 ◽  
Author(s):  
Carlos Paredes ◽  
Rogelio De la Vega-Panizo ◽  
Miguel Ángel Ropero
Keyword(s):  
Satellite Image ◽  
Point Clouds ◽  
Aerial Imagery ◽  
Aerial Photographs ◽  
Topographic Map ◽  
Deception Island ◽  
Black And White ◽  
3D Point Clouds ◽  
Geodynamic Processes ◽  
Public Repositories

Despite today's extensive remote sensing imagery with all kinds of sensors, the use of old aerial imagery is still importantin the study of slowly evolving land processes to reconstruct past landscape forms. Numerous organisations sharephotogrammetric data in public repositories, offering opportunities to exploit them to identify historical, natural andanthropogenic topographic changes, which is particularly interesting if they are difficult to access areas, possibly affectedsince historic times by climate change and other geodynamic processes. This work proposes and applies a workflow basedon the SfM-MVS photogrammetric technique to 22 and 33 historical aerial photographs of the English FIDASE (1956/57)and Argentinean Navy (1968) flights, scanned at 1016dpi and 96dpi, black and white, of Deception Island (South Shetland,Antarctica). The photogrammetric processing controls the threshold values of the reconstruction uncertainties andprojection accuracy. The 3D point clouds obtained are geroreferenced with 37 ground control points (GCP) geographicallypositioned in a QuickBird2 satellite image over island areas not affected by volcanism. The quality of the DTM is controlledby comparison with the 1960 topographic map 1:25000 of the island, which allows the volumes of material emitted in thevolcanic eruption of 1967 to be evaluated. The results obtained improve considerably and extend the set of resultscompared to those obtained by classical contour line digitizing. The applied method, the DTM and orthomosaic of 1956and 1968 presented will allow us to evaluate, together with the analysis applied to later historical flights, English 1979 andChilean 1986, the recent changes produced by the recent volcanism, the local external geodynamics, the possible climaticdeterioration and the scope of current human activity from 1956 to the present day.

Learning-Based Shadow Detection in Aerial Imagery Using Automatic Training Supervision from 3D Point Clouds

2021 ◽  
Author(s):  
Deniz Kavzak Ufuktepe ◽  
Jaired Collins ◽  
Ekincan Ufuktepe ◽  
Joshua Fraser ◽  
Timothy Krock ◽  
...  
Keyword(s):  
Point Clouds ◽  
Shadow Detection ◽  
Aerial Imagery ◽  
3D Point Clouds

Assessing 3D point clouds from aerial photographs for species-specific forest inventories

2016 ◽  
Vol 32 (1) ◽  
pp. 68-79 ◽  
Author(s):  
Stefano Puliti ◽  
Terje Gobakken ◽  
Hans Ole Ørka ◽  
Erik Næsset
Keyword(s):  
Point Clouds ◽  
Aerial Photographs ◽  
Forest Inventories ◽  
3D Point Clouds ◽  
Species Specific

scholarly journals Data Fusion of Scanned Black and White Aerial Photographs with Multispectral Satellite Images

Sci ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 10
Author(s):  
Dimitris Kaimaris ◽  
Petros Patias ◽  
Giorgos Mallinis ◽  
Charalampos Georgiadis
Keyword(s):  
Data Fusion ◽  
Spatial Resolution ◽  
Satellite Images ◽  
Image Acquisition ◽  
Satellite Image ◽  
Aerial Photographs ◽  
Black And White ◽  
Multispectral Satellite Images ◽  
Number Of Publications

Αbstract: To date, countless satellite image fusions have been made, mainly with panchromatic spatial resolution to a multispectral image ratio of 1/4, fewer fusions with lower ratios, and relatively recently fusions with much higher spatial resolution ratios have been published. Apart from this, there is a small number of publications studying the fusion of aerial photographs with satellite images, with the year of image acquisition varying and the dates of acquisition not mentioned. In addition, in these publications, either no quantitative controls are performed on the composite images produced, or the aerial photographs are recent and colorful and only the RGB bands of the satellite images are used for data fusion purposes. The objective of this paper is the study of the addition of multispectral information from satellite images to black and white aerial photographs of the 80s decade (1980–1990) with small difference (just a few days) in their image acquisition date, the same year and season. Quantitative tests are performed in two case studies and the results are encouraging, as the accuracy of the classification of the features and objects of the Earth’s surface is improved and the automatic digital extraction of their form and shape from the archived aerial photographs is now allowed. This opens up a new field of use for the black and white aerial photographs and archived multispectral satellite images of the same period in a variety of applications, such as the temporal changes of cities, forests and archaeological sites.

scholarly journals EXTRACTING SEMANTICALLY ANNOTATED 3D BUILDING MODELS WITH TEXTURES FROM OBLIQUE AERIAL IMAGERY

2015 ◽  
Vol XL-3/W2 ◽  
pp. 53-58 ◽  
Author(s):  
D. Frommholz ◽  
M. Linkiewicz ◽  
H. Meissner ◽  
D. Dahlke ◽  
A. Poznanska
Keyword(s):  
High Resolution ◽  
Software Package ◽  
Point Clouds ◽  
Aerial Imagery ◽  
Commercial Software ◽  
Camera System ◽  
3D Point Clouds ◽  
Building Models ◽  
Commercial Software Package

This paper proposes a method for the reconstruction of city buildings with automatically derived textures that can be directly used for façade element classification. Oblique and nadir aerial imagery recorded by a multi-head camera system is transformed into dense 3D point clouds and evaluated statistically in order to extract the hull of the structures. For the resulting wall, roof and ground surfaces high-resolution polygonal texture patches are calculated and compactly arranged in a texture atlas without resampling. The façade textures subsequently get analyzed by a commercial software package to detect possible windows whose contours are projected into the original oriented source images and sparsely ray-casted to obtain their 3D world coordinates. With the windows being reintegrated into the previously extracted hull the final building models are stored as semantically annotated CityGML ”LOD-2.5” objects.

scholarly journals GROUND AND AERIAL DIGITAL DOCUMENTATION OF CULTURAL HERITAGE: PROVIDING TOOLS FOR 3D EXPLOITATION OF ARCHAEOLOGICAL DATA

2017 ◽  
Vol XLII-2/W3 ◽  
pp. 141-145 ◽  
Author(s):  
G. Cantoro
Keyword(s):  
Laser Scanning ◽  
Large Scale ◽  
Point Clouds ◽  
3D Models ◽  
Aerial Photographs ◽  
Scientific Methods ◽  
Archaeological Data ◽  
3D Point Clouds ◽  
Digital Documentation ◽  
Time Changes

Archaeology is by its nature strictly connected with the physical landscape and as such it explores the inter-relations of individuals with places in which they leave and the nature that surrounds them. Since its earliest stages, archaeology demonstrated its permeability to scientific methods and innovative techniques or technologies. Archaeologists were indeed between the first to adopt GIS platforms (since already almost three decades) on large scale and are now between the most demanding customers for emerging technologies such as digital photogrammetry and drone-aided aerial photography. <br><br> This paper aims at presenting case studies where the “3D approach” can be critically analysed and compared with more traditional means of documentation. Spot-light is directed towards the benefits of a specifically designed platform for user to access the 3D point-clouds and explore their characteristics. Beside simple measuring and editing tools, models are presented in their actual context and location, with historical and archaeological information provided on the side. As final step of a parallel project on geo-referencing and making available a large archive of aerial photographs, 3D models derived from photogrammetric processing of images have been uploaded and linked to photo-footprints polygons. Of great importance in such context is the possibility to interchange the point-cloud colours with satellite imagery from OpenLayers. This approach makes it possible to explore different landscape configurations due to time-changes with simple clicks. <br><br> In these cases, photogrammetry or 3D laser scanning replaced, sided or integrated legacy documentation, creating at once a new set of information for forthcoming research and ideally new discoveries.

scholarly journals Usability of aerial video footage for 3D-scene reconstruction and structural damage assessment

2018 ◽  
Author(s):  
Johnny Cusicanqui ◽  
Norman Kerle ◽  
Francesco Nex
Keyword(s):  
Damage Assessment ◽  
Structural Damage ◽  
Moving Objects ◽  
Point Clouds ◽  
Video Data ◽  
Aerial Imagery ◽  
Video Footage ◽  
3D Point Clouds ◽  
Post Disaster ◽  
Aerial Video

Abstract. Remote sensing has evolved into the most efficient approach to assess post-disaster structural damage, in extensively affected areas through the use of space-borne data. For smaller, and in particular, complex urban disaster scenes, multi-perspective aerial imagery obtained with Unmanned Aerial Vehicles and derived dense colour 3D-models are increasingly being used. These type of data allow the direct and automated recognition of damage-related features, supporting an effective post-disaster structural damage assessment. However, the rapid collection and sharing of multi-perspective aerial imagery is still limited due to tight or lacking regulations and legal frameworks. A potential alternative is aerial video footage, typically acquired and shared by civil protection institutions or news media, and which tend to be the first type of airborne data available. Nevertheless, inherent artifacts and the lack of suitable processing means, have long limited its potential use in structural damage assessment and other post-disaster activities. In this research the usability of modern aerial video data was evaluated based on a comparative quality and application analysis of video data and multi-perspective imagery (photos), and their derivative 3D point clouds created using current photogrammetric techniques. Additionally, the effects of external factors, such as topography and the presence of smoke and moving objects were determined by analyzing two different earthquake-affected sites: Tainan (Taiwan) and Pescara del Tronto (Italy). Results demonstrated similar usabilities for video and photos. This is shown by the short 2 cm of difference between the accuracies of video and photo-based 3D Point clouds. Despite the low video resolution, the usability of this data was compensated by a small ground sampling distance. Instead of video characteristics, low quality and application resulted from non-data related factors, such as changes in the scene, lack of texture or moving objects. We conclude that current video data are not only more rapidly available than photos, but they also have a comparable ability to assist in image-based structural damage assessment and other post-disaster activities.

scholarly journals SUPERVISED CLASSIFICATION AND ITS REPEATABILITY FOR POINT CLOUDS FROM DENSE VHR TRI-STEREO SATELLITE IMAGE MATCHING USING MACHINE LEARNING

2020 ◽  
Vol V-2-2020 ◽  
pp. 525-532
Author(s):  
A-M. Loghin ◽  
N. Pfeifer ◽  
J. Otepka-Schremmer
Keyword(s):  
Machine Learning ◽  
Satellite Imagery ◽  
Image Matching ◽  
Laser Scanning ◽  
Satellite Image ◽  
Point Clouds ◽  
Supervised Machine Learning ◽  
Ground Sample ◽  
Machine Learning Classification ◽  
3D Point Clouds

Abstract. Image matching of aerial or satellite images and Airborne Laser Scanning (ALS) are the two main techniques for the acquisition of geospatial information (3D point clouds), used for mapping and 3D modelling of large surface areas. While ALS point cloud classification is a widely investigated topic, there are fewer studies related to the image-derived point clouds, even less for point clouds derived from stereo satellite imagery. Therefore, the main focus of this contribution is a comparative analysis and evaluation of a supervised machine learning classification method that exploits the full 3D content of point clouds generated by dense image matching of tri-stereo Very High Resolution (VHR) satellite imagery. The images were collected with two different sensors (Pléiades and WorldView-3) at different timestamps for a study area covering a surface of 24 km2, located in Waldviertel, Lower Austria. In particular, we evaluate the performance and precision of the classifier by analysing the variation of the results obtained after multiple scenarios using different training and test data sets. The temporal difference of the two Pléiades acquisitions (7 days) allowed us to calculate the repeatability of the adopted machine learning algorithm for the classification. Additionally, we investigate how the different acquisition geometries (ground sample distance, viewing and convergence angles) influence the performance of classifying the satellite image-derived point clouds into five object classes: ground, trees, roads, buildings, and vehicles. Our experimental results indicate that, in overall the classifier performs very similar in all situations, with values for the F1-score between 0.63 and 0.65 and overall accuracies beyond 93%. As a measure of repeatability, stable classes such as buildings and roads show a variation below 3% for the F1-score between the two Pléiades acquisitions, proving the stability of the model.

Data Fusion of Scanned Black and White Aerial Photographs with Multispectral Satellite Images

Sci ◽  
2019 ◽  
Vol 1 (2) ◽  
pp. 36
Author(s):  
Dimitris Kaimaris ◽  
Petros Patias ◽  
Giorgos Mallinis ◽  
Charalampos Georgiadis
Keyword(s):  
Data Fusion ◽  
Spatial Resolution ◽  
Satellite Images ◽  
Image Acquisition ◽  
Satellite Image ◽  
Aerial Photographs ◽  
Black And White ◽  
Multispectral Satellite Images ◽  
Number Of Publications

To date, countless satellite image fusions have been made, mainly with panchromatic spatial resolution to a multispectral image ratio of 1/4, fewer fusions with lower ratios, and relatively recently fusions with much higher spatial resolution ratios have been published. Apart from this, there is a small number of publications studying the fusion of aerial photographs with satellite images, with the year of image acquisition varying and the dates of acquisition not mentioned. In addition, in these publications, either no quantitative controls are performed on the composite images produced, or the aerial photographs are recent and colorful and only the RGB bands of the satellite images are used for data fusion purposes. The objective of this paper is the study of the addition of multispectral information from satellite images to black and white aerial photographs of the 2nd half of the 20th century (1950–1999) with small difference (just a few days) in their image acquisition date, the same year and season. Quantitative tests are performed in two case studies and the results are encouraging, as the accuracy of the classification of the features and objects of the Earth’s surface is improved and the automatic digital extraction of their form and shape from the archived aerial photographs is now allowed. This opens up a new field of use for the black and white aerial photographs and archived multispectral satellite images of the same period in a variety of applications, such as the temporal changes of cities, forests and archaeological sites.

scholarly journals Data Fusion of Scanned Black and White Aerial Photographs with Multispectral Satellite Images

Sci ◽  
2020 ◽  
Vol 2 (2) ◽  
pp. 29
Author(s):  
Dimitris Kaimaris ◽  
Petros Patias ◽  
Giorgos Mallinis ◽  
Charalampos Georgiadis
Keyword(s):  
Data Fusion ◽  
Spatial Resolution ◽  
Satellite Images ◽  
Image Acquisition ◽  
Satellite Image ◽  
Aerial Photographs ◽  
Black And White ◽  
Multispectral Satellite Images ◽  
Number Of Publications

To date, countless satellite image fusions have been made, mainly with panchromatic spatial resolution to a multispectral image ratio of 1/4, fewer fusions with lower ratios, and relatively recently fusions with much higher spatial resolution ratios have been published. Apart from this, there is a small number of publications studying the fusion of aerial photographs with satellite images, with the year of image acquisition varying and the dates of acquisition not mentioned. In addition, in these publications, either no quantitative controls are performed on the composite images produced, or the aerial photographs are recent and colorful and only the RGB bands of the satellite images are used for data fusion purposes. The objective of this paper is the study of the addition of multispectral information from satellite images to black and white aerial photographs of the 80s decade (1980–1990) with small difference (just a few days) in their image acquisition date, the same year and season. Quantitative tests are performed in two case studies and the results are encouraging, as the accuracy of the classification of the features and objects of the Earth’s surface is improved and the automatic digital extraction of their form and shape from the archived aerial photographs is now allowed. This opens up a new field of use for the black and white aerial photographs and archived multispectral satellite images of the same period in a variety of applications, such as the temporal changes of cities, forests and archaeological sites.

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