Publications about 'Trees'

Books and proceedings

1. Zhi-Hua Zhou. Machine Learning. Springer Singapore, 2021. Keyword(s): Machine Learning, Book on Machine Learning, Computer Science, Learning Algorithms, Neural Networks, Support Vector Machines, Decision Trees, Classification, Clustering, Supervised Learning, Semi-Supervised Learning, Unsupervised Learning, Metric Learning, Feature Selection, Rule Learning, Mathematical Models, Reinforcement Learning, Bayesian Networks, ML, AI, Artificial Intelligence. [Abstract] [bibtex-entry]

Thesis

1. Albert Monteith. Temporal Characteristics of Boreal Forest Radar Measurements. PhD thesis, Chalmers University of Technology, 2020. Keyword(s): SAR Tomography, BorealScat. [Abstract] [bibtex-entry]

Articles in journal or book chapters

1. Unmesh Khati, Marco Lavalle, and Gulab Singh. Spaceborne tomography of multi-species Indian tropical forests. Remote Sensing of Environment, 229:193-212, 2019. Keyword(s): SAR Processing, SAR Tomography, TomoSAR, Tomography, TanDEM-X, TerraSAR-X, Tropical, Forest, India, Spaceborne SAR, X-band. [Abstract] [bibtex-entry]



2. Marivi Tello-Alonso, Victor Cazcarra-Bes, Matteo Pardini, and K. Papathanassiou. Forest Structure Characterization From SAR Tomography at L-Band. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(10):3402-3414, October 2018. Keyword(s): SAR Processing, SAR Tomography, forestry, optical radar, radar imaging, radar interferometry, radar polarimetry, remote sensing by laser beam, remote sensing by radar, synthetic aperture radar, vegetation mapping, 3-D forest monitoring, radar reflectivity, physical forest structure, tomographic SAR data, vertical structure index, inventory data, spatial distribution, experimental tomographic L-band data, vertical structure indices, vertical profiles, forest structure indices, forest structure characterization, SAR tomography, synthetic aperture radar remote sensing configurations, high spatial resolution, temporal resolution, tomographic SAR techniques, correlation coefficients, Forestry, Vegetation, Synthetic aperture radar, Tomography, Indexes, L-band, Forest structure, synthetic aperture radar, tomography. [Abstract] [bibtex-entry]



3. A. Recchia, Andrea Monti Guarnieri, Antonio Broquetas, and Antonio Leanza. Impact of Scene Decorrelation on Geosynchronous SAR Data Focusing. IEEE Transactions on Geoscience and Remote Sensing, 54(3):1635-1646, March 2016. Keyword(s): SAR Processing, SAR focusing, autofocus, atmospheric phase, atmospheric phase screen, APS, decorrelation, temporal decorrelation, geostationary, geosynchronous, radar clutter, radar resolution, synthetic aperture radar, Billingsley intrinsic clutter motion model, GEOSAR signal-to-clutter ratio, azimuth resolution, clutter energy, geosynchronous SAR data focusing, ground based radar experiment, power spectral density, scene decorrelation, two-way propagation losses, Azimuth, Clutter, Decorrelation, Focusing, Synthetic aperture radar, Thyristors, Focusing, Geosynchronous Synthetic Aperture Radar (GEOSAR), scene decorrelation, wind-blown clutter. [Abstract] [bibtex-entry]



4. Michael Schmitt, Muhammad Shahzad, and Xiao Xiang Zhu. Reconstruction of individual trees from multi-aspect TomoSAR data. Remote Sensing of Environment, 165:175-185, 2015. Keyword(s): SAR Processing, SAR tomography, Synthetic aperture radar (SAR), Multi-aspect, Trees, 3D reconstruction, Forested areas, Point cloud segmentation. [Abstract] [bibtex-entry]



5. Maciej J. Soja, H. Persson, and Lars M. H. Ulander. Estimation of Forest Height and Canopy Density From a Single InSAR Correlation Coefficient. IEEE Geosci. Remote Sens. Lett., 12(3):646-650, March 2015. Keyword(s): digital elevation models, geophysical image processing, parameter estimation, radar interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping, AD 2011 to 2013, VV-polarized bistatic-interferometric TanDEM-X image pairs, canopy density, forest height estimation, hemiboreal test site Remningstorp, high-resolution digital terrain model, single InSAR correlation coefficient, southern Sweden, synthetic aperture radar, two-level model, vegetation, Backscatter, Coherence, Laser radar, Remote sensing, Synthetic aperture radar, Time division multiplexing, Vegetation, Canopy density, TanDEM-X, forest height, interferometric model, interferometry, synthetic aperture radar (SAR), two-level model (TLM). [Abstract] [bibtex-entry]



6. Mauro Mariotti d' Alessandro, Stefano Tebaldini, and Fabio Rocca. Phenomenology of Ground Scattering in a Tropical Forest Through Polarimetric Synthetic Aperture Radar Tomography. IEEE Trans. Geosci. Remote Sens., 51(8):4430-4437, August 2013. Keyword(s): SAR Processing, Biomass, SAR Tomography, Tomography, Polarimetry, Polarimetric synthetic aperture radar, SAR Interferometry, Interferometry, Multibaseline Interferometry, digital signal processing, forest, longer wavelength radar, P-Band, Airborne SAR, Paracou, French Guyana, ONERA, SETHI, TropiSAR, ESA. [Abstract] [bibtex-entry]



7. Dawei Liu, Guoqing Sun, Zhifeng Guo, K.J. Ranson, and Yang Du. Three-Dimensional Coherent Radar Backscatter Model and Simulations of Scattering Phase Center of Forest Canopies. IEEE Trans. Geosci. Remote Sens., 48(1):349-357, January 2010. Keyword(s): 3D coherent radar backscatter model, InSAR signals, SAR interferometric data, canopy height, canopy spatial structure, forest canopies, forest stand, forest structural parameters, ground surface backscattering, interferometric SAR, scattering phase center simulations, synthetic aperture radar, time delay, backscatter, geophysical signal processing, radar interferometry, remote sensing by radar, synthetic aperture radar, vegetation;. [Abstract] [bibtex-entry]



8. R. N. Treuhaft, B. D. Chapman, J. R. dos Santos, F. G. Gonçalves, L. V. Dutra, P. M. L. A. Graça, and J. B. Drake. Vegetation profiles in tropical forests from multibaseline interferometric synthetic aperture radar, field, and lidar measurements. J. Geophys. Res., 114:1-16, December 2009. Keyword(s): SAR Processing, SAR Tomography, tropical forest structure, InSAR, interferometric SAR, lidar, Ecosystems, structure and dynamics, Remote sensing, Atmospheric Composition and Structure, Biosphere atmosphere interactions, Trace gases. [Abstract] [bibtex-entry]



9. V. Alberga and M. Chandra. Volume decorrelation resolution in polarimetric SAR interferometry. Electronics Letters, 39(3):314-315, February 2003. Keyword(s): buildings, distributed scatterer height, forests, interferometric coherence images, man-made artifacts, polarimetric SAR data, polarimetric SAR interferometry, random volumes, stationary distributed targets, synthetic aperture radar, volume decorrelation resolution, decorrelation, radar imaging, radar polarimetry, radiowave interferometry, synthetic aperture radar, target tracking;. [Abstract] [bibtex-entry]



10. Curtis W. Chen and Howard A. Zebker. Network approaches to two-dimensional phase unwrapping: intractability and two new algorithms. J. Opt. Soc. Am. A, 17(3):401-414, March 2000. Keyword(s): SAR Processing, phase unwrapping, SNAPHU, Interferometry, InSAR, SAR Interferometry, Synthetic aperture radar, Phase. [Abstract] [bibtex-entry]



11. S.R. Cloude, J. Fortuny, J.M. Lopez-Sanchez, and A.J. Sieber. Wide-band polarimetric radar inversion studies for vegetation layers. IEEE Transactions on Geoscience and Remote Sensing, 37(5):2430-2441, September 1999. Keyword(s): backscatter, forestry, geophysical techniques, image classification, radar cross-sections, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetation mappingbackscatter, canopy, complex volume scattering, entropy-alpha target decomposition scheme, ficus tree, fig, fir tree, forest, geophysical measurement technique, image classification scheme, inversion algorithm, parametric inversion, polarimetric radar inversion, radar scattering, radar theory, random particle cloud model, small anisotropic particles, two-parameter model, vegetation layer, vegetation mapping, wide band method. [Abstract] [bibtex-entry]

Conference articles

1. A. Wyholt and Lars M. H. Ulander. Evaluating VHF-band SAR autofocus algorithms using a forest backscatter model. In Proc. IEEE Int. Geosci. Remote Sens. Symp., volume 4, pages 9-12, July 2009. Keyword(s): SAR Processing, Autofocus, Time-Domain Back-Projection, TDBP, FFBP, SAR subimages, VHF-band SAR autofocus algorithms, fast factorized back-projection algorithm, forest backscatter model, forest clutter model, matching error, residual displacement errors, subimage matching, backscatter, focusing, geophysical image processing, image matching, remote sensing by radar, synthetic aperture radar. [Abstract] [bibtex-entry]



2. C.V. Jakowatz and D.E. Wahl. Three-dimensional tomographic imaging for foliage penetration using multiple-pass spotlight-mode SAR. In Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256), volume 1, pages 121-125 vol.1, November 2001. Keyword(s): Tomography, Radar imaging, History, Synthetic aperture radar, Focusing, Laboratories, Tree graphs, Graphics, Fourier transforms, Layout. [Abstract] [bibtex-entry]

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This collection of SAR literature is far from being complete.
It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME should NOT be mistaken for a complete bibliography of that author.

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