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The potential of active learning (AL) methods for improving the marine oil spills identification system is exploited using 10-year(2004–2013) RADARSAT data. Six basic AL methods are proposed according to the uncertainty criteria and coupled with the support vector machine(SVM) classifier. As many as 56 commonly used features are used for the classification. The AUC measures are estimated using the...
It is found that data placement on the networked nodes of a cluster based on the shared-nothing architecture (SNA) should align in the physical (i.e. spatiotemporal) space for most geoscience Big Data analysis systems in order to minimize data movements and thus achieve optimal performance and efficiency. This is due to the fact that data analysis in geosciences predominantly requires spatiotemporal...
Acoustic remote sensing is the only effective technique to investigate the deep seabed. Modern high-frequency multibeam echo-sounders transmit and receive backscatter signals from hundreds of narrow-angle beams which generate small footprints on the seabed. They can produce bathymetry and backscatter data with a spatial resolution around 2% of water depth, which enables us to map the seabed with great...
Tycho crater is the most prominent crater of Copernican era. In this paper, the spatial and temporal features of the microwave thermal emission (MTE) at Tycho area are studied with the microwave sounder (CELMS) data combined with TiO2 abundance, surface slope and roughness, rock abundance data of lunar regolith. The results indicate that MTE at the south part of Tycho crater (Region A) is strongly...
In the past few years nonlocal filters have emerged as a serious contender for denoising synthetic aperture radar (SAR) images, offering superior noise reduction and detail preservation compared to many other filters. In this manuscript we analyze how nonlocal filters, whose computational costs were so far prohibitive for large scale processing, can be implemented efficiently on graphics processing...
In precision flood monitoring it is important to follow the temporal evolution of an event. Often, however, sufficient temporal coverage of events spanning several days can be attained only by recurring to multi-sensor data, due to different acquisition characteristics and schedules of different types of sensors. We present an example of a successful fusion of data coming from both SAR (COSMO-SkyMed...
International technology transfer and absorptive capacity play a trivial role in technological capacity building in newly industrialized countries. Despite various ambitious and visionary roadmaps, Malaysia's aerospace industry is still confined to basic manufacturing, maintenance, repair and overhaul and lacks substantial research and development and design activities. As absorptive capacity is a...
The cloud and cloud shadow are difficult to capture accurately in optical imagery because of insufficient spectral information. In this paper, an automatic multiple features combined (MFC) method is proposed for cloud and cloud shadow detection in GF-1 WFV imagery which includes three visible and one near-infrared bands. The local optimization strategy with guided filtering, and the proposed object-based...
In this paper the Supervised Locally Linear Embedding (SLLE) algorithm is introduced into polarimetric SAR (PolSAR) feature dimensionality reduction (DR) and land cover classification. SLLE technique, as a supervised nonlinear manifold learning method, can obtain a low-dimensional embedding space which preserves both the local geometric property of high-dimensional data and discriminative information...
To explore anisotropic information embedded among sub-aperture SAR images, we propose polarimetric sub-aperture singular value decomposition, where polarimetric and anisotropic features are simultaneously decomposed. The decomposed singular values and left singular vectors are equivalent to eigen-analysis-based polarimetric target decomposition, while the right singular vectors give the corresponding...
Continuous-wave (CW) electromagnetic induction (EMI) systems operating in the presence of magnetic soil often encounter issues with the voltage that the soil induces in the receive coil. Previously, an optimization procedure that represents the coils as stream functions and attempts to create coils to mitigate the effects of the soil was presented. In this paper, the optimization convergence is improved,...
A three-component decomposition algorithm is proposed for polarimetric SAR data. After extracting the volume scattering component, both the orientation angle compensation and a unitary transformation are applied to the remaining matrix to derive the second and third components which are exactly consistent with either the surface scattering model or the double-bounce scattering model, respectively...
Recent theoretical and experimental studies have indicated the feasibility of passive microwave L-band observations for observing dry snow cover characteristics, namely snow density in the lower approx.. 10 cm of the snowpack. The sensitivity of L-band emission to snow density is based on the dual influence of refraction and impedance matching on observed brightness temperature with changing effective...
A detailed spatially explicit evapotranspiration (ET) mapping at daily basis is of substantial benefit for agricultural water management. An integrated multi-sensor approach that combines the benefits of the high spatial resolution of Landsat and the high temporal resolution of MODIS and geostationary satellites to provide daily field-scale ET estimates is evaluated over two different agricultural...
The spectral within- and between-class variability of reed beds and reference species was evaluated in this study in order to determine the possibilities to discriminate reed beds from other green vegetation using airborne hyperspectral data. Five reed bed and five reference sites representing other greenish vegetation were chosen for this study, 15 sample plots at each site. The differences in within-class...
Global Navigation Satellite System (GNSS) signals can be used as a kind of bistatic radar, with receivers opportunistically recording ground-reflected signals transmitted by the GNSS satellites themselves. The ground-reflected signals are sensitive to changes in surface permittivity, which for L-band is primarily a function of the moisture content of the surface. Here, we investigate the ability of...
Complementary information from multi-sensor can be integrated to effectively solve many problems in remote sensing application. Synthetic Aperture Radar (SAR) imaging can be a feasible alternative to traditional optical remote sensing techniques because it is independent of solar illumination and weather conditions. This paper proposes a novel fusion framework combining IHS transform with sparse representation...
In this paper, a novel airborne synthetic aperture radar (SAR) and optical image fusion method based on Intensity-Hue-Saturation (IHS) and joint non-negative sparse representation (JNNSR) is proposed. Firstly, the color optical image is transformed into IHS space. Then, the intensity component of the optical image and the SAR image are decomposed by JNNSR into common component and innovation components...
Groundwater is an important component of the hydrological cycle. In Canada, more than 30% of the population relies on groundwater as the main source of water for domestic use. However, its measurement and monitoring remain challenging at large spatial scales. In this study, we examined the relationship between in situ groundwater data extracted from existing wells, and those derived from the Gravity...
For SMOS data, significant errors exist in coastal areas because of the contamination by the nearby land. In this paper, the analysis of SMOS brightness temperature (TB) data in coastal area of South China Sea (SCS) reveals a decreasing trend with the increase of the distance to coast. A SMOS TB measurement model according to geophysical parameters and SMOS/MIRAS antenna array is established. The...
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