This letter presents two new change detection (CD) methods for synthetic aperture radar (SAR) image stacks based on the Neyman–Pearson criterion. The first proposed method uses data from wavelength–resolution images stack to obtain background statistics, which are used in a hypothesis test detect changes surveillance image. second considers <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...

We investigate the performance of the Neyman-Pearson detection of a stationary Gaussian process in noise, using a large wireless sensor network (WSN). In our model, each sensor compresses its observation sequence using a linear precoder. The final decision is taken by a fusion center (FC) based on the compressed information. Two families of precoders are studied: random iid precoders and orthog...

We consider a simple hypothesis and alternative about an abstract random observation parametrized by A from a directed set A. The asymptotics over A is evaluated for mixed errors of the Bayes tests and second kind errors of the Neyman-Pearson tests. Similar asymptotics has been first evaluated by H. ChernofT and Ch. Stein when A is the set of naturals and the observation consists of the first X...

Standard tests of the “no-treatment-effect” hypothesis for a comparative experiment include permutation tests, the Wilcoxon rank sum test, two-sample t tests, and Fisher-type randomization tests. Practitioners are aware that these procedures test different no-effect hypotheses and are based on different modeling assumptions. However, this awareness is not always, or even usually, accompanied by...

The application of ranked set sampling (RSS) techniques to data from a dichotomous population is currently an active research topic, and it has been shown that balanced RSS leads to improvement in precision over simple random sampling (SRS) for estimation of a population proportion. Balanced RSS, however, is not in general optimal in terms of variance reduction for this setting. The objective o...

Open boreal forests present a challenge in understanding remote sensing signals acquired with various solar and view geometries. Much research is needed to improve our ability to model the bidirectional reflectance distribution (BRD) for retrieving the surface information using measurements at a few angles. The geometric-optical bidirectional reflectance model presented in this paper considers ...

Extensive rainfall disaggregation approaches have been developed and applied in climate change impact studies such as flood risk assessment and urban storm water management.In this study, five rainfall models that were capable ofdisaggregating daily rainfall data into hourly one were investigated for the rainfall record in theChangi Airport, Singapore. The objectives of this study were (i) to s...

In this paper, we used the newly proposed exponential calibration for additive distortion measurement errors models, where neither response variable nor covariates can be directly observed but are distorted in fashions by an confounding variable. By using calibrated variables, three estimators of parameters and empirical likelihood-based confidence intervals proposed, studied asymptotic propert...