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Proceedings of SPIE: geo-spatial and temporal image and data exploitation iii

Proceedings of SPIE: Geo-Spatial and Temporal Image and Data...

PROCEEDINGS OF SPIE SPIE - The International Society for Optical Engineering: geo-spatial and temporal image and data exploitation iii

The proceedings contains 26 papers from the Proceedings of SPIE: geo-spatial and temporal image and data exploitation iii. Topics discussed include: efficient radiometrically accurate synthetic representation of IR scenes;imaging radiometer overlay model for infrared scene synthesis;virtual reality technology for lidar data analysis and prediction of thermal crossover based on imaging measurements over the diurnal cycle.

关键词： Infrared imaging

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Extended Hough methodology in geospatial image exploitation

Extended Hough methodology in geospatial image exploitation

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conference on geo-spatial and temporal image and data exploitation iii

作者： Cofer, RH Kozaitis, SP Cha, JH Florida Inst Technol Dept Elect & Comp Engn Melbourne FL 32901 USA

ISBN: (纸本)0819449571

Hough transform theory provides a heuristically appealing approach toward finding lineal features in imagery. Unfortunately direct algorithmic implementation of its theory results in many practical problems. We provide two interlocking theoretical extensions to greatly enhances the Hough transform's ability to handle finite lineal features and allow directed search for parallel lines within the scene while balancing memory and computational complexity. Both extensions involve expansion of the Hough space concept to allow easier access to processed data for both dedicated silicon and general-purpose computer implementations.

关键词： Hough transforms lineal features image exploitation algorithmic implementation

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Robust ground control point matching algorithm for multichannel radar image geometric correction

Robust ground control point matching algorithm for multichan...

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conference on geo-spatial and temporal image and data exploitation iii

作者： Kulemin, GP Kurekin, AA Zelensky, AA Lukin, VV Ukrainian Acad Sci Inst Radiophys & Elect UA-310085 Kharkov Ukraine

ISBN: (纸本)0819449571

A new algorithm for multichannel radar image mutual superimposing (registration) and geometric correction is proposed. It uses ground control points (GCPs) selected manually or automatically for warp and base images and the branch-and-bound technique for initial estimation of geometric transform parameters. We show that due to taking into account the GCP selection errors for both warp and base images, the proposed modification of branch-and-bound algorithm allows to additionally improve the accuracy of warp parameter estimation. To reduce the computational complexity of branch-and bound algorithm an approach based on optimal selection of center position for warp image coordinate system is proposed. It is shown that the coordinate system shifting towards the center of warp image GCP bounding box permits to accelerate the search process. For additional speeding up the branch-and-bound algorithm, bounded alignment approach is applied. For establishing the correspondence between GCPs and for detection of erroneous points, a novel method of statistical analysis of GCP superimposing errors is put forward. The designed algorithm is tested for both simulated and real data and demonstrates high efficiency and robustness.

关键词： remote sensing image superimposing control point matching branch-and-bound bounded alignment

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Real-time 3-D data acquisition for augmented reality man and machine interfacing

Real-time 3-D data acquisition for augmented reality man and...

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conference on geo-spatial and temporal image and data exploitation iii

作者： Guan, C Hassebrook, LG Lau, DL Univ Kentucky Dept Elect & Comp Engn Lexington KY 40506 USA

ISBN: (纸本)0819449571

Based on recent discoveries, we present a method to project a single structured pattern and then reconstruct the three-dimensional range from the distortions in the reflected and captured image. Traditional structured light methods require several different patterns to recover the depth, without ambiguity and albedo sensitivity, and are corrupted by object movement during the projection/capture process. Our method efficiently combines multiple patterns into a single composite pattern projection - allowing for real-time implementations. Because structured light techniques require standard image capture and projection technology, unlike time of arrival techniques, they are relatively low cost. Attaining low cost 3D video acquisition would have a profound impact on most applications that are presently limited to 2D video imaging. Furthermore, it would enable many other applications. In particular, we are studying real time depth imagery for tracking hand motion and rotation as an interface to a virtual reality. Applications include remote controlled robotic interfacing in space, advanced cockpit controls and computer interfacing for the disabled.

关键词： structured light augmented reality virtual reality human-computer interaction 3D data acquisition

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Virtual reality technology for lidar data analysis

Virtual reality technology for lidar data analysis

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conference on geo-spatial and temporal image and data exploitation iii

作者： Gardner, JV Warner, T Nellis, MD Brandtberg, T Inst Sci Res Inc Fairmont WV 26555 USA

ISBN: (纸本)0819449571

High-resolution lidar data, acquired over a deciduous forest, were used to investigate the potential utility and limitations of current virtual reality (VR) software for remote sensing analysis and evaluation. Although a standard remote sensing software package provided a good overview of interpolated, smoothed lidar data, functionality was lower for gridded data that had not been interpolated. However, it was possible to drape orthophotographs and other images, over the gridded lidar data, providing a useful method for investigating relationships between the lidar and other data sets. Using a commercial VR package, it was possible to view the original lidar point data;consequently, we were able to visualize the multiple returns from within the canopy of each tree. These point data were preferable for identifying surfaces within the data cloud, especially the ground surface, because the original point data allow an analyst to see, and work with, the full spatial complexity of the data. Being able to visualize the original data clouds also helps in delineating individual trees, the structure of returns within single trees and, potentially, to identify objects hidden within and beneath the trees. For a fully integrated remote-sensing VR package, additional functionality is needed to link point and interpolated coverages, and to enhance the interactive selection of data for further statistical analysis.

关键词： virtual reality lidar visualization remote sensing

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Multi-Modal and Multi-temporal data Fusion: Outcome of the 2012 GRSS data Fusion Contest

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IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2013年第3期6卷 1324-1340页

作者： Berger, Christian Voltersen, Michael Eckardt, Robert Eberle, Jonas Heyer, Thomas Salepci, Nesrin Hese, Soeren Schmullius, Christiane Tao, Junyi Auer, Stefan Bamler, Richard Ewald, Ken Gartley, Michael Jacobson, John Buswell, Alan Du, Qian Pacifici, Fabio Univ Jena Inst Geog Dept Earth Observat D-07743 Jena Germany German Aerosp Ctr DLR Remote Sensing Technol Inst IMF D-82234 Oberpfaffenhofen Germany Tech Univ Munich Chair Remote Sensing Technol D-80333 Munich Germany Ball Aerosp & Technol Fairborn OH 45324 USA Rochester Inst Technol Ctr Imaging Sci Rochester NY 14623 USA Natl Air & Space Intelligence Ctr Wright Patterson AFB OH 45433 USA Mississippi State Univ Dept Elect & Comp Engn Mississippi State MS 39762 USA DigitalGlobe Inc Longmont CO 80503 USA

The 2012 data Fusion Contest organized by the data Fusion Technical Committee (DFTC) of the IEEE geo-science and Remote Sensing Society (GRSS) aimed at investigating the potential use of very high spatial resolution (VHR) multi-modal/multi-temporal image fusion. Three different types of data sets, including spaceborne multi-spectral, spaceborne synthetic aperture radar (SAR), and airborne light detection and ranging (LiDAR) data collected over the downtown San Francisco area were distributed during the Contest. This paper highlights the three awarded research contributions which investigate (i) a new metric to assess urban density (UD) from multi-spectral and LiDAR data, (ii) simulation-based techniques to jointly use SAR and LiDAR data for image interpretation and change detection, and (iii) radiosity methods to improve surface reflectance retrievals of optical data in complex illumination environments. In particular, they demonstrate the usefulness of LiDAR data when fused with optical or SAR data. We believe these interesting investigations will stimulate further research in the related areas.

关键词： data fusion LiDAR multi-modal multi-temporal optical SAR urban VHR imagery

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DYNAMICS OF SPATIO-temporal URBAN EXPANSION IN SOUTH WEST DELHI REGION: A geo-spatial APPROACH FOR URBAN DISASTER MANAGEMENT

DYNAMICS OF SPATIO-TEMPORAL URBAN EXPANSION IN SOUTH WEST DE...

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conference on geo-information for Disaster Management (Gi4DM)

作者： Sharma, N. Kaur, A. Bose, P. Guru Gobind Singh Indraprastha Univ New Delhi India Govt NCT Delhi GeoSpatial Delhi Ltd New Delhi India

Constantly increasing population and up-scaling economic growth has certainly contributed to fast-paced urban expansion, but simultaneously, as a result, has developed immense pressure on our natural resources. Among other unfavorable consequences, this has led to significant changes in the land use and land cover patterns in megacities all across the globe. As the impact of uncontrolled and unplanned development continues to alter life patterns, it has become imperative to study severe problems resulting from rapid development and leading to environmental pollution, disruptions in ecological structures, ever increasing pressure on natural resources and recurring urban disasters This paper presents an approach to address these challenges using geospatial data to study the land use and land cover change and the patterns and processes of urban growth. Spatio-temporal changes in land-use/land-cover were assessed over the years using multi-date high resolution satellite data. The land use classification was conducted using visual image interpretation technique wherein, study area was categorized into five different classes based on NRSC classification system namely agricultural, built-up, urban green (forest), and fallow land and water bodies. Post-classification change detection technique was used for the assessment of land-cover change and transition matrices of urban expansion were developed to quantify the changes. The results show that the city has been expanding majorly in its borders, where land masses have been converted from agriculture based rural areas to urban structures. An increase in the built-up category was observed with the transformation of agricultural and marginal land with an approximate change of 8.62% in the peri-urban areas. Urban areas are becoming more densely populated and open barren lands are converted into urban areas due to over population and migration from the rural areas of Delhi and thus increasing threat towards urban disaster. Conse

关键词： Spatio-temporal Urban Expansion geo-spatial Land use/land cover Population Urban Disaster

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WILDFIRE DAMAGE ASSESSMENT USING MULTI-temporal SENTINEL-2 data

WILDFIRE DAMAGE ASSESSMENT USING MULTI-TEMPORAL SENTINEL-2 D...

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conference on geo-information for Disaster Management (Gi4DM)

作者： Chung, M. Jung, M. Kim, Y. Seoul Natl Univ Dept Civil & Environm Engn Seoul South Korea

Recently, the drastic climate changes have increased the importance of wildfire monitoring and damage assessment as well as the possibility of wildfire occurrence. Estimation of wildfire damage provides the information on wildfire-induced ecological changes and supports the decision-making process for post-fire treatment activities. For accurate wildfire damage assessment, the discrimination between disaster-induced and natural changes is crucial because they usually coupled together. In this study, Sentinel-2 images were employed to assess the damage from a wildfire, which occurred in the coniferous forest of Gangneung, Gangwon Province, South Korea on April 2019. The images were captured from both Sentinel-2A and -2B, shortening the temporal interval of available pre- and post-fire images. Multi-temporal image analysis was performed in both object and pixel-based with two commonly used spectral indices, NDVI and NBR. Additional image pair from the same period of 2018 was used to distinguish the fire-affected regions from the naturally changed area and compared with the results from using only one pair of images from 2019. The experimental results showed that the change detection performance could be affected by the number of image pairs and spectral indices used to discriminate burned region from unburned region. Thus it verified the significance of adequately employing annual multi-pair satellite images for wildfire damage assessment.

关键词： Wildfire damage assessment Multi-temporal image analysis OBIA Change detection Sentinel-2

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ASSESSMENT OF LANDSLIDE-INDUCED MORPHOLOGY CHANGES USING AN OBJECT-BASED image ANALYSIS APPROACH: A CASE STUDY OF HITARDALUR, ICELAND

ASSESSMENT OF LANDSLIDE-INDUCED MORPHOLOGY CHANGES USING AN ...

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conference on geo-information for Disaster Management (Gi4DM)

作者： Dabiri, Z. Hoelbling, D. Abad, L. Tiede, D. Univ Salzburg Dept Geoinformat Z GIS A-5020 Salzburg Austria

On July 7, 2018, a large landslide occurred at the eastern slope of the Fagraskogarfjall Mountain in Hitardalur valley in West Iceland. The landslide dammed the river, led to the formation of a lake and, consequently, to a change in the river course. The main focus of this research is to develop a knowledge-based expert system using an object-based image analysis (OBIA) approach for identifying morphology changes caused by the Hitardalur landslide. We use synthetic aperture radar (SAR) and optical remote sensing data, in particular from Sentinel-1/2 for detection of the landslide and its effects on the river system. We extracted and classified the landslide area, the landslide-dammed lake, other lakes and the river course using intensity information from S1 and spectral information from S2 in the object-based framework. Future research will focus on further developing this approach to support mapping and monitoring of the spatio-temporal dynamics of surface morphology in an object-based framework by combining SAR and optical data. The results can reveal details on the applicability of different remote sensing data for the spatio-temporal investigation of landslides, landslide-induced river course changes and lake formation and lead to a better understanding of the impact of large landslides on river systems.

关键词： Landslide Earth Observation (EO) River System Object-Based image Analysis (OBIA) Sentinel-1 Iceland

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THE USE OF MULTI-temporal SENTINEL SATELLITES IN THE ANALYSIS OF LAND COVER/LAND USE CHANGES CAUSED BY THE NUCLEAR POWER PLANT CONSTRUCTION

THE USE OF MULTI-TEMPORAL SENTINEL SATELLITES IN THE ANALYSI...

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conference on geo-information for Disaster Management (Gi4DM)

作者： Colak, E. Chandra, M. Sunar, F. ITU Geomat Engn Grad Program Civil Engn Fac TR-80626 Maslak Turkey Tech Univ Chemnitz Chemnitz Germany ITU Geomat Engn Dept Civil Engn Fac TR-80626 Maslak Turkey

Turkey, due to increased demand for energy has made plans for nuclear power generation since 1970. Sinop Nuclear Power Plant, which will be built on Sinop Inceburun peninsula at the Black Sea coast of Turkey, is one of the three different nuclear power plants planned to be built in Turkey. The Sinop Nuclear Power Plant consist of four different reactors. The construction of the first unit is expected to be completed by 2023, and the fourth unit is planned to be activated by 2028. On the other hand, the construction of the nuclear power plant will alter the land use at the actual plant site and its surroundings and hence may cause significant environmental changes. As an indicator, more than 650000 trees have been cut so far for the construction of nuclear power plant, and this can adversely affect the ecological balances of the region by endangering habitats and creating ecological damages. The aim of this study is to analyse the land use/land cover changes (LULC) in the forestry-dominated areas due to the construction of nuclear power plants using the multi-temporal Synthetic Aperture Radar (SAR) and optical satellite images. For this purpose, different change detection methods such as SAR intensity image differencing, supervised image classification method (Support Vector Machine algorithm) were applied to Sentinel 1 satellite image datasets (2016-2019) to evaluate the annual changes due to construction. In addition, a correlation analysis was performed between the canopy structure and vegetation biomass using Sentinel 2 NDVI dataset (2016-2019) and calibrated Sentinel 1 backscatter values. Furthermore, using the Google Earth Engine (GEE), the Landsat 8 NDVI time series of the affected forest area, generated at 8-day intervals, was used to validate changes in vegetation.

关键词： Multi-temporal data Change Detection Nuclear Power Plant Sentinel 1& 2

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