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Yixian Tang - One of the best experts on this subject based on the ideXlab platform.

  • rice crop monitoring in south china with Radarsat 2 quad polarization sar data
    IEEE Geoscience and Remote Sensing Letters, 2011
    Co-Authors: Chao Wang, Hong Zhang, Bo Zhang, Yixian Tang
    Abstract:

    This letter presents preliminary results of an attempt to monitor rice crop growth using Radarsat-2 quad polarization synthetic aperture radar (SAR) data. Three Radarsat-2 quad-polarization SAR images are collected from transplanting to rice crop harvesting. Ground truth data, such as rice height and biomass, are measured during Radarsat-2 data acquisition in Hainan Province, South China. The correlation between backscattering coefficient and rice growth parameters is analyzed, and then, a rice field mapping method with quad polarization SAR image is developed. Experiments show that an HV or VH image backscattering coefficient exhibits the best correlation with rice age after transplantation. Furthermore, the HV or VH image is also more suitable for retrieving rice growth parameters, such as rice height and dry biomass, for FQ4 Radarsat-2 SAR data. The ratio image of HH/VV possesses high separability required to distinguish rice crop from banana, forest, and river. Results indicate that Radarsat-2 quad polarization SAR data presented enormous potential for monitoring rice crop growth.

Alan A. Thompson - One of the best experts on this subject based on the ideXlab platform.

  • Radarsat-2 Mission Status: Capabilities Demonstrated and Image Quality Achieved
    2008
    Co-Authors: Alan A. Thompson, Anthony Luscombe, Kenny James, Peter Allen Fox
    Abstract:

    The Radarsat-2 satellite was successfully launched on December 14, 2007. Following the launch, the commissioning period lasted approximately three months. At the time of writing (March 2008), commissioning is nearing completion. This paper reports on the demonstrated Radarsat-2 capabilities at this time. The imaging capabilities of Radarsat-2 include all the heritage beams and modes of Radarsat-1, and a variety of new beams and modes. These new modes include better resolution modes than Radarsat-1, and various multi-polarization (dual and quad-polarization) modes in contrast to the single HH-polarization capability of Radarsat-1. In addition Radarsat-2 has an experimental GMTI mode known as the Moving Object Detection Experiment (MODEX). We show example imagery for many of these imaging modes, illustrating various Radarsat-2 applications. The achieved image quality is also reported.

  • The Radarsat-2 SAR processor
    Canadian Journal of Remote Sensing, 2004
    Co-Authors: Alan A. Thompson, Ian H. Mcleod
    Abstract:

    The Radarsat-2 synthetic aperture radar (SAR) processor processes Radarsat-2 signal data into georeferenced and geocoded imagery. The processor is a subsystem of the Radarsat-2 ground segment and is referred to as the processing and distribution subsystem (PDS). This paper provides an overview of the PDS, including descriptions of the system context, system heritage, functionality, architecture, and processing algorithms. The output product format is also summarized.

  • Technical Note / Note technique The Radarsat-2 SAR processor
    2004
    Co-Authors: Alan A. Thompson, Ian H. Mcleod
    Abstract:

    The Radarsat-2 synthetic aperture radar (SAR) processor processes Radarsat-2 signal data into georeferenced and geocoded imagery. The processor is a subsystem of the Radarsat-2 ground segment and is referred to as the processing and distribution subsystem (PDS). This paper provides an overview of the PDS, including descriptions of the system context, system heritage, functionality, architecture, and processing algorithms. The output product format is also summarized.

  • The moving object detection experiment on Radarsat-2
    Canadian Journal of Remote Sensing, 2004
    Co-Authors: Charles E. Livingstone, Alan A. Thompson
    Abstract:

    Under contract to the Canadian Space Agency and in cooperation with the Canadian Department of National Defence, MacDonald Dettwiler and Associates Ltd. will include an experimental ground moving target detection function in Radarsat-2. The Radarsat-2 design allows two portions of the full antenna aperture to be used independently with two separate receivers. This configuration provides a temporal (along-track) interferometer (ATI) capability. By appropriate processing of the received echo data from the two apertures, it is possible to detect targets that have a radial motion component and to measure their radial velocities. This element of the Radarsat-2 spacecraft and ground system design is known as the moving object detection experiment (MODEX). Ongoing research into the properties of unscanned synthetic aperture radar (SAR) ground moving target indication (SAR GMTI) sensors of the Radarsat-2 class has identified a number of features that are unique to SAR GMTI processing requirements. This paper desc...

  • Radarsat-2 SAR modes development and utilization
    Canadian Journal of Remote Sensing, 2004
    Co-Authors: Peter Allen Fox, Anthony Luscombe, Alan A. Thompson
    Abstract:

    Radarsat-2 is required to generate a much wider range of data products than any other preceding civilian satellite Synthetic Aperture Radar (SAR). The Radarsat-2 mission will support the so-called heritage beams of Radarsat-1: single-polarization standard, fine resolution, wide swath, ScanSAR, and extended coverage beams. However, the new mission requirements additionally include Quad-Polarization, Multilook Fine and Ultrafine resolution modes, and selectable single- and dual-polarization options for the heritage beams. The radar is also required to operate in experimental modes to provide data for detection of moving objects. To support this mission, a technologically advanced instrument has been designed, with a number of extra degrees of freedom in its operation. This paper describes some key features in the design of the instrument and explains how they will be utilized in generating the new types of data.

Ishuwa Sikaneta - One of the best experts on this subject based on the ideXlab platform.

  • a generalization of dpca processing for multichannel sar gmti radars
    IEEE Transactions on Geoscience and Remote Sensing, 2013
    Co-Authors: Delphine Ceruttimaori, Ishuwa Sikaneta
    Abstract:

    This paper generalizes the well-known displaced- phase-center antenna (DPCA) method for efficient ground moving target indication (GMTI) with a two-channel synthetic aperture radar (SAR) to any multichannel SAR/GMTI radars independent of the number of receive channels. This processing method called extended DPCA (EDPCA) is derived in this paper and is applied to data acquired with the Canadian Radarsat-2 satellite. The expected GMTI performance of Radarsat-2 after EDPCA processing is compared to results achieved with measured Radarsat-2 data recorded during several trials in order to validate the developed theory.

  • Radarsat-2 System and Mode Description
    2006
    Co-Authors: C. E. Livingstone, Ishuwa Sikaneta, C. Gierull, Shen Chiu, P. Beaulne
    Abstract:

    Abstract : The Canadian Radarsat-2 satellite, due for launch in Fall 2006 carries a commercial synthetic aperture radar system that extends the capabilities of Radarsat-1 in several ways. All Radarsat-1 modes have been retained, a fully polarimetric SAR mode has been added, a single polarization 3 m (ground range) mode has been added, for two channel operation either H or V transmit polarization can be selected, an experimental Ground Moving Target Indication (GMTI) mode has been added, and the radar can look either side of the satellite track. The imaging modes of Radarsat-2, like those of Radarsat-1 promise to have significant military utility for situational awareness and change detection applications. For Radarsat-2 the ability to detect and monitor features of interest will be enhanced by polarization diversity, polarimetric imaging capability, the high-resolution mode and the ability to look to either side of the satellite track. The experimental GMTI mode has been implemented through collaboration between the Department of National Defence (DND), the Canadian Space Agency, and the satellite builder, Macdonald Dettwiler and Associates. Because of the orbit and resulting revisit rate, this mode is not expected to provide a significant operational capability for military use in its current implementation on Radarsat-2. It is expected to provide information on the performance of future space-based GMTI sensors for operational military use and is expected to be an important tool for the development of concepts of operation for space-based GMTI measurements. This paper outlines the technical properties of Radarsat-2 and its operating modes. The experimental GMTI mode and associated data processing is briefly discussed.

Guy Seguin - One of the best experts on this subject based on the ideXlab platform.

  • Evolution of the Radarsat Program
    IEEE Geoscience and Remote Sensing Magazine, 2014
    Co-Authors: Guy Seguin, S.k. Srivastava, Denis Auger
    Abstract:

    The Radarsat program takes its origin in the seventies when the Canadian Government was seeking a reliable technology to ensure safe navigation through sea ice. At that time there was an expectation that it would be necessary for large tanker to navigate through the Beaufort Sea to transport oil extracted from drilling platforms. During the same period the Canadian Center for Remote Sensing was developing SAR applications using an airborne SAR instrument on a Convair 580. One of these applications of great interest for the Canadian Ice Service was ice discrimination provided by the C-band SAR data to support the development of ice map to guide navigation in winter in the Gulf of Saint-Lawrence Seaway. With the combination of both, interest for oil transportation in the Beaufort Sea and the need for accurate and frequent ice map the business case for Radarsat- 1 was born. This paper provides an overview on the Radarsat program since its beginning and is partially based on a presentation delivered in October 2013 at the Canadian Space Agency on the motivation and evolution of the Radarsat program [1].

  • IGARSS (2) - Radarsat constellation, project objectives and status
    2009 IEEE International Geoscience and Remote Sensing Symposium, 2009
    Co-Authors: Guy Seguin, Shabeer Ahmed
    Abstract:

    The Radarsat Constellation is an evolution of the Radarsat program with the objective of assuring C-band data continuity in the next decade with improved operational use of Synthetic Aperture Radar (SAR) and improved system reliability. This paper describes mission's main objectives and user requirements, as well as its concept and current status.

  • IGARSS - The Radarsat constellation payload design
    2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
    Co-Authors: Ralph Girard, Patrick Plourde, Guy Seguin
    Abstract:

    The Canadian Space Agency completed the definition phase of the Radarsat Constellation, a constellation of three satellites that will ensure C-band data continuity with Radarsat-2. The first satellite is scheduled to enter in operation toward the end of the Radarsat-2 mission, for a full implementation of the constellation in 2014-15. The Radarsat Constellation is designed to improve significantly the availability of SAR data for main Canadian Government departments, the main applications areas being maritime surveillance, ecosystem monitoring and disaster management. An important constraint on the mission was to reduce significantly the cost of SAR data, which forced the use of new approaches in the payload design. The paper presents the initial payload design process and three techniques investigated to improve its performance.

Chao Wang - One of the best experts on this subject based on the ideXlab platform.

  • classification of chinese gaofen 3 fully polarimetric sar images initial results
    2017 Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL), 2017
    Co-Authors: Lu Xu, Hong Zhang, Chao Wang, Qiaoyan Fu
    Abstract:

    Last year, China has launched a new radar satellite on August 10th: the Chinese high spatial resolution satellite Gaofen-3 (GF-3). It is the first Chinese polarimetric imaging radar, and the only radar satellite in the Chinese High Resolution Earth Observation System. This paper introduces two fully-polarimetric (FP) modes of GF-3, and exhibits their calibrated backscattering coefficients and land classification results. The histograms of GF-3 calibrated backscattering coefficients are in good accordance with those of Radatsat-2 Fine Quad data. Besides, both unsupervised and supervised classification schemes portrait different ground objects in a rational way, and achieve satisfactory accuracies. Through the comparison to Radarsat-2 data, both backscattering information and polarimetric abilities of GF-3 are examined, which demonstrate good product quality and utilization value of GF-3.

  • rice crop monitoring in south china with Radarsat 2 quad polarization sar data
    IEEE Geoscience and Remote Sensing Letters, 2011
    Co-Authors: Chao Wang, Hong Zhang, Bo Zhang, Yixian Tang
    Abstract:

    This letter presents preliminary results of an attempt to monitor rice crop growth using Radarsat-2 quad polarization synthetic aperture radar (SAR) data. Three Radarsat-2 quad-polarization SAR images are collected from transplanting to rice crop harvesting. Ground truth data, such as rice height and biomass, are measured during Radarsat-2 data acquisition in Hainan Province, South China. The correlation between backscattering coefficient and rice growth parameters is analyzed, and then, a rice field mapping method with quad polarization SAR image is developed. Experiments show that an HV or VH image backscattering coefficient exhibits the best correlation with rice age after transplantation. Furthermore, the HV or VH image is also more suitable for retrieving rice growth parameters, such as rice height and dry biomass, for FQ4 Radarsat-2 SAR data. The ratio image of HH/VV possesses high separability required to distinguish rice crop from banana, forest, and river. Results indicate that Radarsat-2 quad polarization SAR data presented enormous potential for monitoring rice crop growth.