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This paper introduces the basic concepts of game theory and outlines the mechanisms for applying game theory models to big data analytics and decision making in the field of geosciences and remote sensing. The author proposes the use of strategic, competitive game theory models for the purpose of spectral band grouping when exploiting hyperspectral imagery. The proposed system uses conflict data filtering...
In this paper we apply the recently proposed J-SparseFI data fusion method to the fusion of a low-resolution hyperspectral image and a high-resolution multispectral image. The high correlation of signals in adjacent hyperspectral channels is exploited by assuming signals in different channels are jointly sparse in suitable dictionaries that are created from the multispectral image. First experimental...
The near surface layer signatures in polar firn are preserved from the glaciological behaviors of past climate and are important to understanding the rapidly changing polar ice sheets. Identifying and tracing near surface internal layers in snow radar echograms can be used to produce high-resolution accumulation maps. This process is typically performed manually, which requires time-consuming, dense...
Land surface albedo is considered to be a fundamental quantity for accurate assessment of the surface energy budget. Whereas satellite products usually provide total surface albedo, land surface models often require a separation of snow-free surface albedos of the vegetation canopy and the underlying bare soil. Visible and near infrared vegetation and bare soil albedos are here retrieved from a decade...
Remote sensing monitoring and inversion research of vegetation water content is one of the most important developments of quantitative remote sensing theory and application. The common features of spectral reflectance from vegetation foliage upon leaf dehydration are decreasing water absorption in the near-infrared (NIR) and short-wave-infrared (SWIR). We studied that leaf water indexes in the NIR...
The first of three proposed X-band dual polarization Doppler weather radar nodes of the Puerto Rico tropical weather testbed, known as the TropiNet network [1], has been deployed, and is in operation in Cabo Rojo, Puerto Rico since February 2012. The RXM-25, locally known as the TropiNet radar, is a polarimetric Doppler weather radar, operating in the X-band frequency range, designed to cover a scan...
This paper investigates polarimetric scattering characteristics for accurately detecting stricken man-made objects. In order to understand the polarimetric scattering features generated from various damaged man-made buildings, we carry out the Finite-Difference Time-Domain (FDTD) polarimetric scattering analysis for deformed and/or collapsed man-made target models. The dependency of the polarimetric...
We analyze the information content in COSMO-SkyMed data with different acquisition modes and polarizations. A set of discrimination problems ranging from difficult to simple using samples from different land cover types is presented. Several separability measures, i.e. stochastic distances and their derived hypothesis tests, are applied to pairs of samples, and their ability to discriminate is assessed...
With the resolution of SAR developing continually, it is found that in the process of image processing, using equivalent squint range model would bring large phase error. So using traditional CS algorithm for processing will encounter difficulties. In order to solve this problem because of unsuitable slant range model, this paper introduces the fourth-order slant range model to replace the original...
We propose an efficient method for the azimuth compression and Atmospheric Phase Screen estimation of Geosynchronous SAR data. The method is based on the iterative processing of sub-apertures of increasing size, allowing to gradually refine the quality of the focused data and of the estimated APS. The whole processing can be easily parallelized. Results over simulated data are shown.
ESA's SMOS mission has been a cornerstone in passive Earth Observation, since it has provided for the first time ever with global and frequent observations of Soil Moisture and Ocean Salinity (where the mission acronym comes from). SMOS' single payload is MIRAS: the Microwave Imaging Radiometers by Aperture Synthesis in two dimensions. After SMOS' success, today, a number of instruments are planned...
We introduce a new technique for absolute “through-theantenna” calibration of cross-track-scanning passive microwave radiometers viewing earth from a low-earth orbit. This method offers significant advantages, in that neither internal calibration targets nor noise diodes are needed to calibrate the radiometer. The algorithm does require periodic updates of the atmospheric state, which can be readily...
The Suomi NPP spacecraft pitchover maneuver revealed an ATMS scan angle-dependent bias when viewing deep space, which is a homogenous and unpolarized source that fills the entire ATMS Field of Regard. Reflector emissivity was investigated as a possible root cause. The emissivity is polarization dependent, which results in a scan-dependent bias with the quasi-vertical channels having a different bias...
Forest canopy density is an important attribute of forest. The correlation of forest canopy density with LANDSAT TM and its derivative data was discussed here. The forest resource field inventory data and simultaneous LANDSAT TM data were used here in Shimian county, Sichuan province, P.R.of China. A lot of derivative data were created from LANDSAT TM data. 1204 forest sub-compartments with inner...
The results of measurements of CO2 exchange in various wetland communities were elaborated for the area of Biebrza National Park in north-eastern Poland. The research has been done within ongoing ESA-PECS and National Research Project (No N N526 160040) realized in the Institute of Geodesy and Cartography, Remote Sensing Department in Warsaw. CO2 flux measurements were performed with a static chamber...
Coral bleaching can lead to death of corals and has been increasing in worldwide in recent years. We proposed a method to classify extents of alive and dead corals by using space-bone hyperspectral sensor to monitor the events. The method was composed of two different approaches- Bottom Index and first derivative analysis of reflectance. In this study, examinations for improvement of classification...
The concentration of total suspended sediments (TSS) has often been empirically related to the above-surface remote-sensing reflectance, Rrs(λ). However, since a wide range of particle types exists in natural waters, a given TSS can often be the result of different particle size distributions (PSD). Directly relating TSS to Rrs(λ) disregards the effects of the PSD and may introduce inaccuracies in...
Estuarine biogeochemistry plays a key role in the cycling of biological and chemical parameters. In the present study, a first attempt has been made towards the coupling of a realistic three-dimensional estuarine circulation model with biophysical model in the Hooghly Estuary (21°36′–22°16′N and 87°42′–88°15′E) to simulate and capture the varying effect of plankton biomass with response to river discharge...
Classifier-generic domain adaptation based on feature space matching is applied in this study, with the aim of correcting dataset shifts consisting of both covariate and concept shifts. The feature space transformation between training and test samples is estimated as a set of partition translations, where each transformed partition mean coincides with the mean of a paired target partition. Various...
In this paper, we propose a novel rural construction land extraction algorithm for Unmanned Aerial Vehicle images using an improved Gaussian mixture model. Firstly, in the Gaussian mixture model, instead of mixed probability of various types of surface features, we calculate the prior probability of the various features in the neighborhood of each pixel using Markov random field. It can reflect the...
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