GLACIER SURFACE MONITORING BY MAXIMIZING MUTUAL INFORMATION

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Glacier Surface Monitoring by Maximizing Mutual Information

The contribution of Polarimetric Synthetic Aperture Radar (PolSAR) images compared with the single-channel SAR in terms of temporal scene characterization has been found and described to add valuable information in the literature. However, despite a number of recent studies focusing on single polarized glacier monitoring, the potential of polarimetry to estimate the surface velocity of glaciers...

متن کامل

Learning LBP structure by maximizing the conditional mutual information

Local binary patterns of more bits extracted in a large structure have shown promising results in visual recognition applications. This results in very highdimensional data so that it is not feasible to directly extract features from the LBP histogram, especially for a large-scale database. Instead of extracting features from the LBP histogram, we propose a new approach to learn discriminative ...

متن کامل

Optimization of Quantum Information Processing Maximizing the Mutual Information

A model of quantum noisy channel with input encoding by a classical random vector is described. An equation of optimality is derived to determine a complete set of wave functions describing quantum decodings based on quasi-measurements maximizing the classical amount of transmitted information. A solution of this equation is found for the Gaussian multimode case with input Gaussian distribution...

متن کامل

Water from Two Rocks: Maximizing the Mutual Information

Our goal is to forecast ground truth Y using two sources of informationXA,XB , without access to any data labeled with ground truth. That is, we are aiming to learn two predictors/hypotheses P ∗ A, P ∗ B such that P ∗ A(XA) and P ∗ B(XB) provide high quality forecasts for ground truth Y , without labeled data. We also want to elicit a high quality forecast for Y from the crowds and pay the crow...

متن کامل

Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information

The goal of temporal alignment is to establish time correspondence between two sequences, which has many applications in a variety of areas such as speech processing, bioinformatics, computer vision, and computer graphics. In this paper, we propose a novel temporal alignment method called least-squares dynamic time warping (LSDTW). LSDTW finds an alignment that maximizes statistical dependency ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

سال: 2012

ISSN: 2194-9034

DOI: 10.5194/isprsarchives-xxxix-b7-41-2012