Technology Forum - Photogrammetry

Dr. Ade K. Mulyana
Head, Center for
Topographic Mapping and
Toponyms Geospatial Information
Agency
Indonesia


BIO
Dr. Mulyana obtained his Dutch ir. from Delft University of Technology, the Netherlands, in Geodetic Engineering and his PhD. from Purdue University, USA with a dissertation on SAR geopositioning. He then worked in Indonesia as a researcher at the National Agency for Surveys and Mapping. After serving as a Minister's Special Advisor, he is now Head of Division for Large Scale Topographic Mapping in the newly formed Geospatial Information Agency.

ABSTRACT
FINDING THE MOST OPTIMUM SOLUTION FOR THE NATIONAL LARGE SCALE BASE MAPPING PROGRAM IN INDONESIA

Large scale base mapping up to 1:1,000 scale is a program mandated by the new law on geospatial information in Indonesia. This is a challenging task considering that Indonesia covers more than 1.8 million km2 land area, equivalent to more than 91,000 map sheets at 1:10,000 scale or more than 360,000 map sheets at 1:5,000 scale. The most optimum strategy must be chosen starting with determination of priority areas to be mapped at a certain scale. Further, selection of technology used is also intriguing as different terrain conditions should be mapped. Especially, the most optimum technology that produces height information satisfying the required technical specification must be chosen carefully. This policy paper describes the national large scale base mapping program in Indonesia and the strategy to implement it. Priority areas to be mapped in the following 5 years are determined based on different parameters such as population density, economic growth, local specific needs such as detailed spatial planning, and available budget from both central and local governments. The result of this year large scale mapping project conducted using a combination of aerial (digital) photogrammetry and LIDAR is analyzed, both from technological and project management perspective. The difficulties faced during data collection and data processing stage are highlighted. Recommendation from this analysis forms the base for adjusting the program in the future.

Dr. Ismat M. El Hassan
Professor
King Saud University
Saudi Arabia




BIO
Prof. Dr. Ismat El Hassan is a professor of geomatic engineering at the civil engineering department of King Saud University. He earned his Ph.D.at Glasgow University, Uk. His research interests include phtogrammetry, remote sensing and land surveying.He is an author of several published scientific papers and books.

ABSTRACT
Accuracy Analysis of Measurement of Vehicle Speed Using Overlapping Aerial Photographs
Vehicle speed is a basic measure of traffic performance. It is considered as one of the most important factors in all modes of transportation. Conventional methods of vehicle speed determination are ground-based sensors including radar detection and global positioning systems. A photogrammetric approach for vehicle speed determination has also been suggested. This is based on a pair of overlapping aerial photographs on which two images of the vehicle are exposed by an aerial camera at a certain time interval.In this paper, the methodology is described and factors affecting the obtained vehicle speed accuracy are discussed and analyzed. Theoretical analysis showed that the most effective factor is the accuracy of measuring time interval between exposures and distance moved by the vehicle on the photograph, followed by car speed, air base and photo scale. For high accuracy determination of vehicle speed the photography should be of large scale (low flying height, normal angle camera), long air base, highly accurately determined time interval between exposures and measurement of the distance moved on the photograph.

Dr.Tarig A. Ali
Associate Professor
American University of Sharjah
UAE



ABSTRACT
Robust Extraction of Shoreline by Integrating DubaiSat1 Multispectral Imagery and a Coastal Terrain Model
Automatic extraction of shoreline has traditionally been performed using gray-scale imagery, especially panchromatic aerial photography. Such technique starts by classifying the image into two classes; land and water by finding the near-shoreline region and refining it. This is normally done by using edge detectors and region growing algorithms, which generally produce fragmented, broken, and incomplete shoreline due to the threshold selected or because of image noise. In this paper, a method for automatic shoreline extraction by integrating panchromatic aerial photography, multispectral satellite imagery, and a coastal terrain model (CTM) is presented. Pure water presents high absorption in the red and near infrared region of the electromagnetic spectrum of multispectral satellite imagery, which is rich with spectral information, but their spatial resolution is not high enough to locate the shoreline accurately. Multispectral satellite imagery acquired by DubaiSat1 satellite for a study area in Dubai, UAE was used to identify the water and land interface. Panchromatic imagery, which contains rich spatial information, has then been used to extract the shoreline. To improve the accuracy of the extracted shoreline, a coastal terrain model (CTM) was used; resulting in robust and continuous shoreline.
Matt Ball
Founder and Editor
Vector1 Media
USA



ABSTRACT
From Film to Sensors: The Disruptions of Going Digital
The legacy of film imagery spans more than 200 years, and still continues to some degree today, from its start at the dawn of photography in the mid-1800s to its continued use on Russian reconnaissance satellites. With the advent of digital image sensors, and the elimination of the costly and time consuming development process, the amount of imagery that we capture has seen exponential growth. This short talk will outline and compare some of the advancements that took place in the development of film technology, and will relate them to the advancements that we’re seeing in digital imaging. Of particular focus will be advancements in automation and efficiency that make the technology more accessible, spreading the impact of imagery analysis across many industries. The disruptive nature of this transformation will also be discussed, with some examples of past innovators that no longer exist as they were unable to adapt. Today’s streamlined digital workflows are facilitating a new era of remote sensing to move beyond reality capture and answer profound questions about global change, offering new insight into our complex planet, how we interact, and how our actions impact the health of our planet.