In this paper, we discuss algorithmic approaches for exploiting wide-area persistent EO/IR motion imagery for multisensor geo-registration and automated information extraction, including moving target detection. We first present enabling capabilities, including sensor auto-calibration and automated high-resolution 3D reconstruction using passive 2D motion imagery. We then present algorithmic ap...

Zeeuw, C.J. de and G.W. Hazeu, 2001. Monitoring land use changes using geo-information; possibilities, methods and adapted techniques. Wageningen, Alterra, Green World Research. Alterra-rapport 214/CGI-report 9. 84 blz., 18 fig.; 16 tab.; 46 ref. Monitoring of land use with geographical databases is widely used in policy decision-making. This reports presents the possibilities, methods and adap...

Here we investigate the potential use of ALOS PALSAR L-band dual and quad polarization SAR data for improved forest structure mapping and parameter estimation. Several scenes of level 1.1 SLC data have been acquired under the DRAGON project in 2007 for the Tai-An test site of Shandong Province, P.R. China. The preliminary results for the first phase of this project are reported here. Firstly, t...

If images acquired fromUnmanned Aerial Vehicles (UAVs) need to be accurately geo-referenced, the method of choice is classical aerotriangulation, since on-board sensors are usually not accurate enough for direct geo-referencing. For several different applications it has recently been proposed to mount thermal cameras on UAVs. Compared to optical images, thermal ones pose a number of challenges,...

The GLOBCOVER project delivers a global land cover map at 300 m spatial resolution using MERIS FRS data acquired during the 19 months period from December 2004 until June 2006. As multiple single orbits has to be combined in one single dataset. Therefore, we need to assess the relative and absolute geolocation of MERIS projected products. We describe hereafter the main steps of the ortho-rectif...

Image segmentation is a key prerequisite for object-based classification. However, it is often difficult, or even impossible, to determine a unique optimal segmentation scale due to the fact that various geo-objects, and even an identical geo-object, present at multiple scales in very high resolution (VHR) satellite images. To address this problem, this paper presents a novel unsupervised objec...

Grid computing seeks to aggregate computing resources within an enterprise and leverage on resources you don’t own for compute-intensive applications. Geo-rectification is a process for correcting spatial location and orientation of a satellite image. This paper focuses on the parallelization of the computeintensive satellite image geo-rectification problem on a cluster grid. We discuss our app...

Today, the availability of digital geo-data is increasing rapidly throughout the world, a trend that undoubtedly will continue for the foreseeable future. Among the large geo-data sets available to cartographers are digital terrain models, as well as accurate topographic and thematic data sets about countless physical, social, and economic phenomena. In addition to their geographic coverage and...

We describe an evaluation experiment on GeoTemporal Document Retrieval created for the GeoTime evaluation task of NTCIR 2011. This work describes the retrieval techniques developed to accomplish this task. We describe the collections used in the workshop, detailing the composition of the collections in terms of geographic and temporal expressions. The first contribution of this work is the coll...

Improving the geo-localization of optical satellite images is an important pre-processing step for many remote sensing tasks like monitoring by image time series or scene analysis after sudden events. These tasks require geo-referenced and precisely co-registered multi-sensor data. Images captured by the high resolution synthetic aperture radar (SAR) satellite TerraSAR-X exhibit an absolute geo...