| Titre | An automated InSAR processing system: Potentials and challenges
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| Auteur | Fend, W; Omari, K; Samsonov, S V |
| Source | IEEE International Geoscience and Remote Sensing Symposium proceedings 2016 p. 3209-3210, https://doi.org/10.1109/IGARSS.2016.7729830 |
| Année | 2016 |
| Séries alt. | Ressources naturelles Canada, Contribution externe 20170194 |
| Éditeur | IEEE |
| Réunion | Geoscience and Remote Sensing Symposium (IGARSS); Beijing; CN; juillet 10-15, 2016 |
| Document | publication en série |
| Lang. | anglais |
| DOI | https://doi.org/10.1109/IGARSS.2016.7729830 |
| Media | papier; en ligne; numérique |
| Formats | pdf |
| Sujets | cartographie automatique; télédétection; établissement de modèles; Nature et environnement |
| Diffusé | 2016 07 01 |
| Résumé | (Sommaire disponible en anglais seulement)
A new era of space-based surveillance for global changes has begun with newly launched Synthetic Aperture Radar (SAR) missions Sentinel-1A and ALOS-2
and the upcoming RADARSAT Constellation Mission (RMC) and NASAISRO (NISAR). Heavy loads of SAR data are expected to be acquired regularly in the near future. This no doubt, is good news for a wide range of research applications. However, it also
remains challenging to effectively handle such large amounts of SAR data. Synthetic Aperture Radar Interferometry (InSAR) is a technique for measuring local topography and ground deformation by using two or more SAR images. Due to its unprecedented
spatial and temporal resolutions, and subcentimeter to submillimeter accuracy, the InSAR technique has played an important role in solving a series of global issues such as geohazards (i.e. earthquakes, volcano eruptions), climate change (i.e.
permafrost thawing) and land subsidence (due to mining and urban development). The new satellites can further strengthen potentials of InSAR to help better understand global changes. Early automated InSAR systems have been developed to provide rapid
services in some specific applications (i.e. volcano monitoring in Africa). At the Canada Centre for Mapping and Earth Observation, Natural Resources Canada, a High Performance Computing (HPC) system is being designed for on-demand interferometric
processing of SAR data from RADARSAT-2, RCM (to be launched in 2018) and other satellites. With such an automated processing system, even unexperienced users can generate their own InSAR products from various SAR datasets. Beneficiary clients include
various research centers of the Natural Resources Canada and other government departments and agencies. For comparability with pre-existent infrastructure, the designed system will consist of two components: Graphical User Interface (GUI) unit
connected to database and data archive, and HPC Linux cluster. To access GUI, user will require authorization and various authorization levels will be developed for limiting access to particular data sets. This unit will allow user to select data
that needs to be processed, design processing chain and submit processing request to HPC. The HPC will read processing request and initiate processing sequence. For this various primary and supplementary data will first be collected by HPC from the
remote servers. It is expected that the amount of data for a single processing request may exceed 100 GB and multiple requests will be handled simultaneously. User will be notified of processing completion and provided with the information on how to
retrieve processing results. Multiple security mechanisms will be implemented in order to protect this system from unauthorized access. The expected products from HPC will cover a range of processing levels from phase measurements to geometry
differences between two amplitude images. An example of advanced processing products is the time series of ground deformation showing cumulative ground displacement occurred over time and computed using a well-validated algorithms. |
| GEOSCAN ID | 305953 |
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