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Polarimetric backscatter measurements has potential benefits to improve wind retrieval performance [1]. It simultaneously measures co-polarized backscatter coefficient (σhh, σvv) and the correlation coefficient of the co- and cross-polarized component (σvhhh, σhvvv) of radar returns. A pre-processing design of spaceborne polarimetric scatterometer will be introduce in this paper considering to improve...
Techniques to estimate and correct range-dependent phase differences between receivers in an FMCW ATI SAR are studied. Both techniques reproduce the range-dependent phase ripple seem in the ATI interferograms.
The differential InSAR techquque with corner reflectors(CR-InSAR) may be more effective than the conventional D-InSAR. 18 artificial trihedral triangle corner reflectors are set up in the Yanhui basin and its edge area to study the small crustal deformation there. The CRs are bright color targets in SAR intensity image and their Radar Cross Section (RCS) was be calculated. On this basis, this thesis...
A new dielectric model for vegetation in frozen environment based on the Debye-Cole dual-dispersion model was already developed in part I. This model can be used at a wide frequency range (0.5GHz – 40GHz) and even applicable for negative temperatures reached −20°C. In this paper, a matrix-doubling microwave emission model was used to evaluate vegetation effects in a frozen environment at 6.925, 10...
The crustal activities in Dangxiong basin are frequent and a great deal of geothermal energy is converged under the surface. The geothermic resources are used through the exploitation of underground water. Over-extraction of underground fluids causes the subsidence in the geothermal fields. We present the application of small-baseline InSAR time series method to monitor the land surface subsidence...
High resolution and wide swath have always been critical criteria for SAR systems and consistently pursued. This paper investigates the utilization of pulse repetition frequency (PRF) variation in two situations: very high resolution and ultra-wide swath. It is demonstrated that by adopting varied PRF, in the former case, which corresponds to Spotlight and Sliding Spotlight modes, a much larger range...
Urban heat island (UHI) is one of the main factors influencing the weather, climate, and environment in urban and its surrounding areas. In this study, MODIS's MOD11A2 product over the year of 2000-2012 is used to investigate and monitoring the UHI of Dongguan, China. The result indicates that the higher UHI intensity at day-time is frequently occurred in the summer and fall, while the lower UHI intensity...
Band selection is an important step towards effective and efficient object classification in hyperspectral imagery. In this paper, we propose a semi-supervised learning method for band selection based on a sparse linear regression model. This model uses a least absolute shrinkage and selection operator to compute the regression coefficients from both labeled and unlabeled samples. These coefficients...
LDA model has successfully been used to analyzing satellite images. However there are two cucial problems: (1) the number of clusters needs being given in advance, and (2) all documents share a Dirichlet prior. To solve the problems, a novel model include multiple LDAs with variable topics are proposed to cluster satellite images. Each LDA in the model is dedicated to model one kind of natural scene...
A procedure to simulate the effects of the ionosphere on Synthetic Aperture Radar (SAR) images is presented. The propagation delay errors induced by the ionosphere have to be compensated to millimeter level in order to meet the scientific requirements for an L-band mission dedicated to deformation measurements, which are summarized in [1]. The simulator presented in this paper can be used to study...
In this paper we present first results regarding the analysis of individual business district buildings on very high resolution SAR images. In particular, we focus on the filtering of the periodic patterns appearing in the layover area of the buildings, which are related to façade structure (e.g. floors, windows, balconies). The proposed processing chain is based on spectral analysis of the layover...
The SVDD method, one of the most popular one-class classifiers, could use training samples of the interest class to derive accurate classification and thus is adopted in this paper. However, the penalty parameter C and the kernel width s should be tuned carefully to construct an optimal hypersphere. This research developed a single window flexible pace search method to select optimal parameters. First,...
HJ-1/CCD data has both high spatial resolution and high temporal frequency. By using NDVI time series and SVM classifier with HJ-1/CCD data source, this paper proposed a new resolution for land use classification of Dahuofang Reservoir, Liaoning Province, China. The validation result demonstrates that this resolution could obtain finer result than others.
This paper proposed a novel urban building extraction method to address the problems with shadow and spectral confusion using LiDAR data and very high resolution (VHR) imagery. The buildings were first extracted using height from LiDAR data and normalized difference vegetation index (NDVI) from VHR image. A refinement step was then adopted to reduce the errors caused by shadow and spectral similarity...
Urban built-up area information is required by many applications, such as research of urbanization rate. Urban built-up area extraction using moderate resolution remotely sensed data (e.g. Landsat TM/ETM+) presents numerous challenges, such as very heterogeneous spectral features of urban areas, spectral confusion between built-up class and others. Considering that image texture is one of the important...
In this paper, our concern was to help understanding the different scatterers responses in an interferometric image of a urban area by studying the different mechanisms that can occur inside the urban canyon. This study relies on a geometric code we specifically developed for this kind of scene. In this example, because of the reflections on the walls, we highlight the impact of the Brewster angle...
In this paper, we propose to identify the number of categories that can be retrieved from a very high resolution SAR data. The evaluation is done on TerraSAR-X high resolution Spotlight data and the retrieved categories are semi-automatically annotated using as feature vector the Gabor filters; as a classifier the Support Vector Machine, and for ranking the suggested images the relevance feedback...
Ecohydrological modeling is essential to assess impact of climate change and intense human activities (land use change) on hydrological process and ecosystem to support watershed management. The traditional ecohydrological models have the deficit in coupling ecological and hydrological processes, and parameterizing vegetation parameters. Recently, optimality hypothesis, proposed by Eagleson, has been...
Estimates of sea ice thickness are important for shipping and weather forecasting applications. Sea ice thickness can be estimated using data from the thermal channels on the Moderate Resolution Imaging Spectroradiometer (MODIS). However, using this data for studies of surface conditions is significantly hampered by cloud cover. This is particularly problematic for studies of the marginal ice zone,...
In this work, an image representation based on Binary Partition Tree is proposed for object detection in hyperspectral images. The BPT representation defines a search space for constructing a robust object identification scheme. Spatial and spectral information are integrated in order to analyze hyperspectral images with a region-based perspective. Experimental results demonstrate the good performances...
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