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The limiting factor to the use of Frequency Modulated Continuous Wave (FMCW) technology with Synthetic Aperture Radar (SAR) techniques to produce lightweight, cost effective, low power consuming imaging sensors with high resolution, is the well known presence of non-linearities in the transmitted signal. This results in contrast and range resolution degradation, especially when the system use is intended...
One example of an application of EOS science data is the computation of aerodynamic roughness for momentum and its ultimate application to meteorological and atmospheric transport modeling. Currently, data products derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) and other sensors such as Landsat and ASTER are being used to estimate vegetation and urban (non-vegetated) aerodynamic...
This paper shows how to obtain a binary change map from similarity measures of the local statistics of images before and after a disaster. The decision process is achieved by the use of a zz-SVM in which a stochastic kernel has been defined. Stochastic kernel includes two similarity measures, based on the local statistics, to detect changes from the images: 1) A distance between maginal probability...
We represent the monitoring method of a carbon sink preservation activity for the global warming countermeasure using a high-resolution satellite image. We first investigate the satellite image availability and make a plan of a satellite image acquisition order. Next, we propose the land-use classification using the object-based image analysis to monitor carbon sink forest. Lastly, we apply the technique...
After reviewing and discussing the difficulties of dealing with automatic interpretation methods in SAR imagery, the advantages of using a multiscale time-frequency framework will be established. Then, a specific technique for automatic spot detection, based on the Wavelet Transform (WT), will be presented and justified. The performance of the proposed algorithm will be tested, validated and compared...
Two regional snow mapping algorithms were developed and tested over the province of Quebec (Canada).: one using AVHRR imagery and the second using SMM/I data. In order to mitigate the disadvantages related to each type of data, we decided then to develop a merging procedure of the snow mapping results obtained by both sensors. This procedure allows combining the advantages of using both high spatial...
Entropy, alpha and anisotropy (H/alpha/A) of the polarimetric target decomposition of Cloude and Pettier has been an effective and popular tool for polarimetric SAR image analysis and geophysical parameter estimation. However, multi-look processing can severely affect the values of these parameters. In this paper, a Monte Carlo method is used to evaluate the multi- look effect on these parameters...
Radar polarimetry radar Interferometry and polarimetric SAR interferometry represent the current culmination in 'microwave remote sensing' technology, but we still need to progress very considerably in order to reach the limits of physical realizability. Whereas with radar polarimetry the textural fine-structure, target orientation, symmetries and material constituents can be recovered with considerable...
Assessments on the performance of dual-frequency (13.6/35.5 GHz) precipitation radar (DPR) rain retrieval techniques are performed through simple vertical rain profiles synthesized with arbitrarily defined and disdrometer-measured raindrop size distribution (DSD) data. A DPR inversion technique (DPR-IT) with the estimates of differential attenuation (DA), which used to resolve the path-integrated...
Selective application of herbicide in agricultural cropping systems provides both economic and environmental benefits. Implementation of this technology requires knowledge of the location and density of weed species within a crop. In this study, two image classification techniques (neural networks and maximum likelihood) are compared for accuracy in weed/crop species discrimination. In the summer...
Aerosol particles in the atmosphere can affect climate directly by interacting with solar and terrestrial radiation and indirectly by their effect on cloud microphysics, albedo, and precipitation. The atmospheric aerosol products have been derived operationally from multi-channel imaging data collected with the moderate resolution imaging spectroradiometers (MODIS) on board the NASA Terra and aqua...
Spatial scale is one of the fundamental problems in geosciences. The spatial scale of remote sensing information and scaling have become the important study area of many scientific studies with the applications of remote sensing data. Usually, the scale of remote sensing image is determined by the sensor's resolution, and the resolution affects the information contents of the remote sensing imagery...
Video image matching to find tie points is one of important steps for merging dynamic, narrow field-of-view aerial video into a mosaic orthoimage. Because of its high data sampling rates and inherent characteristics of inconsistent and unstable flying of low-cost unmanned aerial vehicle (UAV), automatically matching of video data is still a big challenge and ongoing effort. This paper presents a self-adaptive...
A series of Landsat TM, ETM and radar data were used to establish land cover and flood risk maps as a function of land cover in Bac-Hung-Hai region in Northern Vietnam. Land cover in one key parameter which has an influence on the occurrence of inundation in that region. Both spectral and textural features were considered in order to improve land cover classification. The radar data was used to reduce...
Reflectance pattern and spatial pattern characterize the geospatial data. Current semantic-enabled framework retrieval system extract primitive features based on color, texture (Spatial Gray Level Dependency - SGLD matrices), and shape from the segmented homogenous region. This system can use only three bands (true color or false color) at a time to capture color information as it converts RGB space...
The elephant-in-the-room: It's so obvious, why didn't we see it before? In the context of "dual-polarized radar", especially Earth-observing synthetic aperture radar, the elephant is simply the relative phase between the two image outputs of a "dual-polarized" SAR. Capture the elephant-which for certain systems may be a minimal-cost transformation-to realize nearly a dozen quantitative...
This paper analyzes the worsening effects the sea surface can induce on vessel classification algorithms working with SAR imagery. Two issues will be tackled, the complex motion history of ships and the polarimetric scattering mechanisms generated by the sea-hull interaction. Both can modify the information that allows to infer the geometry of ships dropping the classification capability. The current...
During the past decade, the ability to determine detailed information of ocean surface wind from Synthetic Aperture Radar (SAR) has been generally accepted. It is expected that SAR will provide all-day and all-weather wind parameters with high spatial resolution and high accuracy, which would provide valuable data to marine weather forecasters and SAR model designers. However, the methodology for...
In this paper, an alternative target density function (TDF) is proposed for narrowband radar model. This is achieved by estimating a new target density function by Gabor theory. It is shown how Gabor transform can be used to obtaining wideband target density function by transmitting a waveform which is a kernel for this transform. The windowing characteristics of this theory is plausible to reaching...
The satellite remote image is degraded obviously due to the diffraction-limitation of imaging system and the atmosphere turbulence and etc.. Namely, the observed image blurred by a low-pass filter whose transfer function vanishes beyond imaging system cut-off spatial frequency (omegac ).Processes that achieve the recreation of frequencies beyond the image pass- band are usually referred to as super-resolution...
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