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Orientation angle compensation has been incorporated into model-based decomposition to cure the overestimation of volume scattering contribution, by rotating the coherency matrix to minimize the cross-polarization term. However, this processing cannot always guarantee to rotate the double-and odd-bounce scattering components back to zero orientation angle cases and with zero cross-polarization power...
Rapid response to natural disasters resulting from events such as earthquakes, volcanoes, floods, and tsunamis or anthropogenically induced events such as oil spills often requires response time measured in hours to days. The type of information required spans information on the magnitude and location of damage needed by immediate response teams to longer time scale information to monitor recovery...
The project entitled Evaluation of RADARSAT-2 quad-pol data for functional assessment of wetlands (Id6842), developed in the framework of the CSA-ESA SOAR-EU (Science and operational applications research for Europe) aims to contribute to the application development in demonstrating the exploitation of fully polarimetric time-series datasets for the functional assessment of wetlands. The objective...
The advancement of SAR technology with high resolution and quad-polarization data demands better and efficient speckle filtering algorithms. In principle, filtering should be applied to distributed media only. Strong pointed targets should be kept unfiltered. In this paper, we will review some of the recently published PolSAR speckle filtering algorithms, and discuss several important issues that...
In this paper, a new method is proposed for ship detection based on generalized optimization of polarimetric contrast enhancement (GOPCE). Since the scattering coefficients of a sea area vary with local incident angle, pixels at different incident angles should be processed differently. The proposed detection method takes incident angle into consideration, and can be realized in two ways: using prior...
In this historical assessment of the development from polarization radar systems technology towards fully polarimetric POL-SAR airborne, high-altitude drones and satellite sensors, the at times slow and stepwise advances in step with -polarization device manufacture are critically analyzed. The main contributions from Kennaugh's fundamental polarization radar optimal null postulates of 1952 and its...
This paper provides an overview of current and future civilian hyperspectral spaceborne systems for terrestrial applications. For this purpose, a brief history of hyperspectral mission initiatives is given together with the spectral and spatial characteristic of current systems in orbit today. Future sensor systems are divided into missions, which are under development and in a planning stage. The...
The SAP4PRISMA is a four year research project which aims at developing algorithms and products for the future PRISMA mission. The project started on May 2010 and is now entering his full activities as the ”PRISMA like” data set has been defined and the test areas were selected. The paper describes the main project objectives and the activities realized in the first 9 months of the project.
Hyperspectral Imager Suite (HISUI) is a next-generation Japanese optical sensor that is composed of a hyperspectral imager and a multispectral imager. Combination of hyperspectral and multispectral imagers contributes land remote sensing with high spectral and spatial resolution. Validation of the HISUI evaluation model, including environmental test such as vibration test and thermal-vacuum test has...
Snow extent and water equivalent (SWE) on land and snow accumulation on glaciers are the main parameters to be delivered by the Cold Regions Hydrology High-resolution Observatory (CoReH2O) satellite. Detailed scientific and technical studies for the mission are going on within the Earth Explorer Programme of ESA. The CoReH2O sensor is a dual frequency SAR, operating at 17.2 and 9.6 GHz, VV and VH...
Retrieval of snow volume properties at high spatial resolutions has become a priority in hydrological and climatological research. Recent studies have identified the 8 to 18 GHz range as particularly sensitive to snow water equivalent. In this study we present snow target observations using a dual frequency (17.2 GHz and 9.6 GHz) scatterometer system. The observations were collected in a unique tundra...
Airborne microwave radiometer measurements of lake ice have been performed in 2004, 2007, 2011, and 2012 over two lakes in southern Finland using radiometer systems that cover frequencies from 1.4 to 36.5 GHz. Airborne and surface data have been collected under circumstances ranging from early winter dry snow to late winter dry and wet snow conditions. Water and slush on top of ice and dry snow grain...
The combination of interferometry and polarimetry (PolInSAR) is a promising candidate for estimating the snow volume using the Random Volume over Ground model (RVoG). The model was originally developed for forest height determination using L-band [1]. The adaption of the RVoG model to snow is not straight forward due to the thin volume of snow and the highly varying penetration depth of X-band microwaves...
The development of bi-continuous scattering model greatly enhanced the ability to model the snow scattering characteristics based on microstructure with most similarity to real snowpack. In this study, snow section images of snow microstructure were used to study the scattering characteristics of snow by using the reconstructed snow 3D microstructure. The equivalent grain size of the continuous random...
This paper presents a fast method suitable for pansharpening of MS imagery. Key points of the novel method, which falls in the category of component substitution (CS) methods, are optimization of the intensity component, achieved through multivariate regression of Pan to MS, and adjustment of the modulus of the spatial detail vector to be injected, based on a minimization of spatial distortion. Spatial...
This paper presents a novel system for automatically updating land-cover maps by classifying remote sensing image time series. The proposed system assumes that a reliable training set is available only for one of the images (i.e., the source domain) in the time series, whereas it is not for another image to be classified (i.e., the target domain). To effectively classify the target domain the proposed...
A solution of difficult tasks in remotely sensed data information extraction can be reached by the development of more complex models. The most important step is in the selection of a relevant and universal methodology for data interpretation, classification, fusion, object detection, etc. Probabilistic graphical models [1] become a more and more popular way for image data annotation and classification...
In remote sensing, pansharpening refers to the technique that combines the complementary spectral and spatial resolution characteristics of a multispectral image and a panchromatic image, with the objective to generate a high-resolution color image. This paper presents a new pansharpening method based on the minimization of a variant of total variation. We consider the fusion problem as the colorization...
Augmented Reality (AR) offers a means to inject virtual information into real scenes. In the past few years, AR has been receiving greater attention thanks to considerable advancements in the hardware of consumer-level portable devices. In this paper, we illustrate how mobile AR can be exploited to intuitively visualize, and moreover generate new, geo-data. We explore these two concepts through i)...
Support vector machine (SVM) and Random Forest (RF) have been developed to improve the accuracy of hyperspectral remote sensing (HRS) image classification significantly in recent years. Due to the different characteristics and obvious diversity between SVM and RF, we propose two integration approaches which combine SVM and Random Forest to classify the HRS image. The proposed method called DWDCS is...
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