land use maps are the most essential information in the hand of natural resources managers.in the present research, to prepare dahat abbas land use map, landsat etm+ (1386) data was used. the image was geometrically corrected with root mean square error of less than 0.47. for classification, artificial neural network, support vector machine and maximum likelihood methods were used.finally, thel...

The symbol-by-symbol maximum a posteriori (MAP) known also as BCJR algorithm is described. The logarithmic versions of the MAP algorithm, namely, Log-MAP and Max-Log-MAP decoding algorithms along with a new Simplified-Log-MAP algorithm, are presented here. Their bit error rate (BER) performance and computational cornplexity of these algorithms are compared. A new hardware architecture for imple...

The Standardized Precipitation Index (SPI) is a widely used drought index to provide good estimations of the intensity, magnitude and spatial extent of droughts. The objective of this study was to analyze the spatial pattern of drought by SPI index. In this paper, patterns of drought hazard in Khuzestan are evaluated according to the data of 17 weather stations during data recording. The influe...

This study is an attempt to obtain a suitable combination of the milling parameters optimize electrical power and material removal rate (MRR) in slot aluminium 6061. Machining radial depth cut (RDOC), feedrate (Fr) axial (ADOC) are optimized using high efficiency cutting strategy. The results analyzed through response surface ANOVA for MRR. Response optimization shows that RDOC=48.8 mm, Fr=3000...

in order to capability investigation on landsat-7 satellite etm+ data in separability forest type and mapping in the zagros region, a small window digital data dating july 2001 from ghalajeh forests in the kermanshah province were analyzed. ground data were provided the cluster sampling method and with 0.36 ha. no radiometric error was found then the quality investigations. orthorectification w...

We consider the problem of finding the maximum area parallelogram (MAP) inside a given convex polygon. Our main result is an algorithm for computing the MAP in an n-sided polygon in O(n2) time. Achieving this running time requires proving several new structural properties of the MAP, and combining them with a rotating technique of Toussaint [10]. We also discuss applications of our result to th...

In this paper, we present a Stationary Wavelet Transform (SWT) based method for the purpose of despeckling the Synthetic Aperture radar (SAR) images by applying a maximum a posteriori probability (MAP) condition to estimate the noise free wavelet coefficients. The solution of the MAP estimator is based on the assumption that the wavelet coefficients have a known distribution. Rayleigh distribut...

Traditional non-blind image deblurring algorithms always use maximum a posterior(MAP). MAP estimates involving natural image priors can reduce the ripples effectively in contrast to maximum likelihood(ML). However, they have been found lacking in terms of restoration performance. Based on this issue, we utilize MAP with KL penalty to replace traditional MAP. We develop an image reconstruction a...

In this paper, a maximum a posteriori sound source localization (MAP-SSL) algorithm is proposed for reverberant and noisy conditions. It is derived by incorporating a sparse prior on the source location into the existing maximum likelihood sound source localization (ML-SSL) framework. The criterion in deriving the proposed MAP-SSL algorithm is similar to the criterion used in deriving the exist...