BISTATIC INSAR X-BAND STATISTICAL CHARACTERIZATION OF AGRICULTURAL FIELDS WITH TANDEM-X

被引:0
作者
Gonzalez, Carolina [1 ]
Martone, Michele [1 ]
Rizzoli, Paola [1 ]
机构
[1] German Aerosp Ctr DLR, Microwaves & Radar Inst, Bonn, Germany
来源
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年
关键词
InSAR; SAR; vegetation; characterization; signature; X-band; SAR; RETRIEVAL;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The interferometric synthetic aperture radar (InSAR) data set, used for the generation of the global TanDEM-X (TDX) DEM, includes multiple acquisitions with different parameters. It enables a big opportunity for scientific geoapplications, such as for land characterization, classification, and monitoring. One valuable information that can be derived from interferometric SAR data for land classification describes the presence/absence of vegetation. At X-band, volume scattering produces decorrelation, even in the presence of short vegetation. As TerraSAR-X and TanDEM-X satellites are still acquiring data, the exploitation of the signatures for specific or detailed vegetation is possible. In August 2016 a ground field campaign was conducted in the Bavaria region, while dedicated TanDEM-X data takes over the same area were commanded by using different acquisition geometries and configurations. The aim of this paper is to characterize the interferometric signatures of agricultural areas from single-pass bistatic TDX acquisitions at 12 meters posting, using the on ground typification for classification purposes.
引用
收藏
页码:2184 / 2187
页数:4
相关论文
共 12 条
  • [1] Information-theoretic heterogeneity measurement for SAR imagery
    Aiazzi, B
    Alparone, L
    Baronti, S
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2005, 43 (03): : 619 - 624
  • [2] SAR Image Classification Through Information-Theoretic Textural Features, MRF Segmentation, and Object-Oriented Learning Vector Quantization
    D'Elia, Ciro
    Ruscino, Simona
    Abbate, Maurizio
    Aiazzi, Bruno
    Baronti, Stefano
    Alparone, Luciano
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (04) : 1116 - 1126
  • [3] The use of ERS-1/2 Tandem interferometric coherence in the estimation of agricultural crop heights
    Engdahl, ME
    Borgeaud, M
    Rast, M
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (08): : 1799 - 1806
  • [4] TanDEM-X mission-new perspectives for the inventory and monitoring of global settlement patterns
    Esch, Thomas
    Taubenboeck, Hannes
    Roth, Achim
    Heldens, Wieke
    Felbier, Andreas
    Thiel, Michael
    Schmidt, Martin
    Mueller, Andreas
    Dech, Stefan
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2012, 6
  • [5] TanDEM-X: A satellite formation for high-resolution SAR interferometry
    Krieger, Gerhard
    Moreira, Alberto
    Fiedler, Hauke
    Hajnsek, Irena
    Werner, Marian
    Younis, Marwan
    Zink, Manfred
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2007, 45 (11): : 3317 - 3341
  • [6] First Demonstration of Agriculture Height Retrieval With PolInSAR Airborne Data
    Lopez-Sanchez, Juan M.
    Hajnsek, Irena
    David Ballester-Berman, J.
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2012, 9 (02) : 242 - 246
  • [7] The global forest/non-forest map from TanDEM-X interferometric SAR data
    Martone, Michele
    Rizzoli, Paola
    Wecklich, Christopher
    Gonzalez, Carolina
    Bueso-Bello, Jose-Luis
    Valdo, Paolo
    Schulze, Daniel
    Zink, Manfred
    Krieger, Gerhard
    Moreira, Alberto
    [J]. REMOTE SENSING OF ENVIRONMENT, 2018, 205 : 352 - 373
  • [8] Coherence evaluation of TanDEM-X interferometric data
    Martone, Michele
    Braeutigam, Benjamin
    Rizzoli, Paola
    Gonzalez, Carolina
    Bachmann, Markus
    Krieger, Gerhard
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2012, 73 : 21 - 29
  • [9] Radar Backscatter Mapping Using TerraSAR-X
    Rizzoli, Paola
    Braeutigam, Benjamin
    Wollstadt, Steffen
    Mittermayer, Josef
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2011, 49 (10): : 3538 - 3547
  • [10] Flattening Gamma: Radiometric Terrain Correction for SAR Imagery
    Small, David
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2011, 49 (08): : 3081 - 3093