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This paper presents a general framework for the simulation of remote sensing image time series with spatial, textural, spectral and temporal realistic characteristics. The main goal of this work is to be able to produce data which is representative of the kind of images which will be acquired by future space Earth observation missions as for instance VENμS, Sentinel-2 or LDCM. This simulated data...
Clouds and the Earth's Radiant Energy System (CERES) Flight Model 5 (FM5) instrument is designed to continue the long-term monitoring of the Earth's radiation budget. CERES has three sensor units that measure radiation in the 0.3 – 5.0 µm, 0.3 – >100 µm and 8 – 12 µm wavelength regions. Prelaunch characterization of the sensors to determine their radiometric gain and spectral response function...
Data analysis based on a specific sensor has some limitations related to individual sensor properties and imaging geometry. Combining information from different sources diminishes these limitations and improves analysis. In this study zero dimensional variational (0D-Var) data assimilation method was used first time to combine passive microwave based analysis and synthetic aperture radar (SAR) data...
Mine tailings may have a widespread geographical distribution; their location and extent may also vary along time, due to reprocessing and disposal activities. Remote sensing techniques have been proven extremely valuable in the inventory, characterization, and remediation of mine tailings elsewhere. In this study we focus on mine tailing mapping around Jebel Hallouf-Bouaouane mine using Landsat multispectral...
Waste dumping is one of the main pollution causing land deterioration and resource depletion. To help manage the environmental protection resource, this study proposed the risk assessment integrating remote sensing and geographic information system (GIS) to predict and map potential waste dumping area. Factors relative to waste dumping were generated with spatial analysis, which quantifies the spatial...
Doppler rate is an important parameter in synthetic aperture radar (SAR) imaging. Incorrect Doppler rate would cause great degradation of image quality. In this paper, by estimating the Doppler rate in high-contrast scene first, and then utilizing the fact that Doppler rate is inversely proportional to range, the Doppler rate in low-contrast scene is estimated indirectly and effectively.
We use the radial basis function network (RBF) for well log data inversion. The first step of the network is the K-means clustering. For the second step, we adopt the 2-layer perceptron instead of conventional 1-layer perceptron. The 2-layer perceptron can do the more nonlinear mapping. The gradient descent method is used in the back propagation learning rule at the second step. The input of the network...
In an effort to overcome the limitations of small target detection in complex urban scene, complementary data sets are combined to provide additional insight about a particular scene. This paper presents a method based on shape/spectral integration (SSI) decision level fusion algorithm to improve the detection of vehicles in semi and deep shadow areas. A four steps process combines high resolution...
Nowadays, the amount of video data acquired for observation or surveillance applications is overwhelming. Due to these huge volumes of video data, focusing the attention of operators on “areas of interest” requires change detection algorithms. In the particular task of aerial observation, camera motion and viewpoint differences introduce parallax effects, which may substantially affect the reliability...
NOAA, through the Joint Polar Satellite System (JPSS) program, in partnership with National Aeronautical Space Administration (NASA), will launch the NPOESS Preparatory Project (NPP) satellite, a risk reduction and data continuity mission, prior to the first operational JPSS launch. The JPSS program will execute the NPP Calibration and Validation (Cal/Val) program to ensure the data products comply...
This paper presents an effective registration method between two geophysical images from different modalities, namely magnetic and electrical, in order to increase the information obtained from the two original images independently. In order to achieve the registration, random local transformations were applied in 5 × 5 randomly chosen windows of the sensed image while the mutual information was used...
Multi-angle imaging spectroscopy of Mars is made possible by the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM). The angular coverage of CRISM is intended to provide reliable information of the atmosphere to carry out accurate atmospheric correction in comparison with the techniques applied on conventional hyperspectral imagery. In this paper we propose two methods that benefit from...
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...
Stabilization and georegistration of aerial video are important problems that can be difficult to solve, especially over mountainous regions. We introduce an approach that registers video frames to images predicted from a digital elevation model derived from LIDAR. It does not require reference imagery, because three-dimensional features such as rocks and vegetation can be predicted and registered...
In recent years, combining spatial and timely remote sensing data and crop growth model is an important way to improve accuracy of crop growth simulation and crop growth monitoring. In this paper, global optimization algorithm SCE-UA (Shuffled Complex Evolution method - University of Arizona) was used to integrate remotely sensed leaf area index (LAI) with EPIC crop growth model to simulate regional...
Spatial and temporal mismatches between coarse resolution output of global climate models (GCMs) and fine resolution data requirements of crop models are the major obstacles for assessing the site-specific climatic impacts of climate change on the production of winter wheat. Based on the output of IPCC AR4 model and observation data, statistical downscaling of precipitation, minimum temperature, and...
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...
In order to focus on the hard classes in a multi-class classification task, a critical class oriented query strategy is proposed, which combines the concepts of “guided learning” and “active learning”. In conjunction with the SVM classifier, hard pair classes are first identified based on the instability of the classification hyperplane, whereby category level guidance for which class should be queried...
In this paper, a modified two-step RCMC method is proposed for SA-FBSAR. Comparing with the traditional two-step method, the sequence of the two-dimensional RCMC operations is altered to accommodate the significant nonlinearity of RCM in SA-FBSAR, and the influence of such modification on imaging process is taken into account. Simulation results with point scatterers demonstrate the validity of the...
This paper present experimental results demonstrating the use of “signals of opportunity” from digital communications satellites (XM radio) as bistatic radar for ocean remote sensing. This builds upon the previous work which demonstrated that the shape of the cross-correlation “waveform” of reflected XM radio signals is sensitive to the roughness of the ocean surface. In these new results, we compare...
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