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This paper studies the potential interest of the multivariate Pearson system for the statistical modeling of images acquired by different sensors. These images include optical and synthetic aperture radar (SAR) remote sensing images. The univariate Pearson system has shown good capacities to capture the statistical properties of SAR images. This paper introduces a generalization of this system to...
A method for the retrieval of aerosol optical thickness on China-Brazil Earth Resources Satellite (CBERS) data has been introduced. This algorithm is designed to estimate precise Aerosol Optical Thickness (AOT) only using Visible to Near-infrared spectral bands (400–900nm) information. The first part of this paper is devoted to the description of this method; outline the main steps in this correction...
Nowadays, remote sensing missions and their analysis are carried out by multiple satellites or airborne images. Naturally, techniques for image fusion have attracted increased attentions and become a topic of major research. The fusion of images from the optical and SAR sensors enables an effective analysis by complementing the weakness of each other. However, unlike optical image, geometrical distortions...
Optimal segmentation results can be obtained by synthetic aperture radar (SAR) image segmentation based on the Markov Random Field (MRF) model. However, MRF segmentation is very time-consuming because of employing the simulated annealing algorithm to optimize energy function. To speed up SAR image segmentation based on the MRF model, this paper investigates a fast segmentation approach for SAR imagery...
Urban areas are highly complex scenes and thus single buildings are often hard to extract. A combination of complementary features of high-resolution interferometric SAR (InSAR) data and optical imagery can add valuable information in case one data source leads to ambiguous results. In addition, contextual information like the sun shadow, front yards, and driveways can act as hints for buildings....
A method to calibrate the geo-location accuracy of optical sensors is presented which is based on a novel multi-modal image matching strategy. This concept enables to transfer points from highly accurate TerraSAR-X imagery to optical images. These points are then used to register the images or to update the optical sensor models. The potential of the methodology is demonstrated on Spot 5, Ikonos and...
A novel approach for building extraction in high resolution optical and SAR images and its application to building change detection are presented in this paper. The proposed object-based building extraction technique relies on an hypothesis generation-optimization-validation scheme, whose estimation and detection performances are characterized on Quickbird and TerraSAR-X semi-urban images. The introduced...
We propose a robust and reasonably fast approach to provide phase estimation and stable target (Persistent Scatterers, PS) detection from a set of repeated pass interferometric acquisitions. The major assumption is that, locally, the PS phase model is decomposed into the separable product of the intrinsic target phase times the optical path, that is common to all the targets in the estimation window...
In the tropical regions, due to frequent cloud cover, optical remote sensing usually does not have adequate multi-temporal high resolution imagery to monitor phenology of forest. This paper seeks to improve mapping of tropical forest by combination of optical and microwave imagery. The study area is located in the southern part of Vietnam. Firstly, ALOS/AVNIR-2 images were used to create a forest...
SAR image is hard to be interpreted by users compared with optical remote sensing image. And current automatic SAR image interpretation cannot meet the requirement of practical application. In order to overcome this problem to some extent, this article presents a new SAR image representation method called “SAR image re-imaging”. This second imaging SAR image is composed from the underlying information...
Polarimetric Synthetic Aperture Radar (PolSAR) data is available at different frequencies and polarizations from various sensors like ALOS-PALSAR, Envisat ASAR, TerraSAR-X. This study compares the classification accuracies obtained with fully polarimetric and dual-polarization L-band ALOS-PALSAR data over Mumbai and Sundarban area. We have also compared dual polarized ALOS-PALSAR L-band TerraSAR-X...
We have determined the CLOUDSAT/sea spray relationship and used it to analyze cirrus clouds optical depth. Differences arise between the different sensors and need to be further investigated. The direct optical depth measurements will greatly improve our
Atmospheric aerosols play an important role in climate change research. It was found that different algorithms and instruments produce somewhat different results for aerosol optical depth (AOD) even if the same location at the same time is observed. Therefore, it is critical to integrate data from multiple platforms and techniques to derive a consistent AOD product. This paper introduced an approach...
GOSAT has monitored column-averaged dry air mole fractions of CO2 and CH4 (XCO2 and XCH4, respectively) for cloud-free scenes more than 2 years. The present paper shows the occurrence of the cloud-free data and the seasonal and inter-annual variation of XCO2 and XCH4. The seasonal variation of XCO2 in the boreal hemisphere consists with the previous knowledge from ground-based observation and atmospheric...
Given the different nature of optical and radar data, it is reasonable the idea that each type of data can contribute in complementary ways for different applications. This paper aims at analyzing the potential joint usage of optical and Synthetic Aperture Radar (SAR) data for land use and land cover classification in a region located in the Brazilian Amazon. To achieve this objective, we evaluated...
In this paper,we propose a hierarchical Markovian framework to extract the road network with optical and synthetic aperture radar (SAR) data. We propose a generalization of a previous method based on a low-level step (features extraction) and a high-level step (use of contextual information). The main novelties of the proposed approach are the use of more general elements to represent road candidates,...
The work presented in this paper is devoted to the analysis of SAR images in order to produce at first a human settlements map, followed by a refined classification of the same dataset in order to extract a Land Use Land Cover (LU/LC) map based on CORINE nomenclature. The urban extents are computed using an approach based on Local Indicators of Spatial Association and textural features while the LU/LC...
This work aims to assess the potential of Synthetic Aperture Radar (SAR) data combined with optical data to support local administrations in the knowledge of the land use and land cover at regional scale. In particular, the contribution of data available in the future through the SIASGE project, combining L-band and X-band radar imagery, is assessed in order to produce thematic maps. Moreover, the...
The objective of this study is to infer a soil moisture index from an approach mainly based on the concept of apparent thermal inertia (ATI). To reduce the effect of spurious variability and cloud presence, soil moisture temporal trend derived from passive microwave based product, namely the NASA AMSR-E-soil moisture product, are used as a tool to filter the data. The AMSR-E data due to their coarse...
Volcanic plumes represent a visible indicator of volcanic activity. They vary in space and time, strongly influenced by the quiescent or eruptive status of the volcano. Different volcanic activities, such as volcanic clouds and plumes, inject into the atmosphere gases and aerosol at different latitudes, altitudes and with different times of residence. Released by the magma, plumes are a turbulent...
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