نتایج جستجو برای: سنجنده etm

تعداد نتایج: 3873  

ژورنال: :مهندسی و مدیریت آبخیز 2013
پیام ابراهیمی کریم سلیمانی کاکا شاهدی

حوزه آبخیز نکا در گذشته با سیلاب­های متعددی همراه بوده و همواره خسارات جبران ناپذیری را در پی داشته است. اطلاع از نوع کاربری اراضی و تغییرات آن در طی زمان، از موارد مهم در برنامه­ریزی و سیاست­گذاری کشور است. در این پژوهش، کاربری اراضی حوزه آبخیز نکا با تصاویر سنجنده etm+ سال 1379و سنجنده irs-1d سال 1390 و براساس پردازش رقومی بیشینه احتمال در محیط  enviتهیه شد. سپس، مسیر دو کیلومتری از بالا­دست ...

Journal: :IEEE Trans. Geoscience and Remote Sensing 2002
Shunlin Liang Hongliang Fang Jeffrey T. Morisette Mingzhen Chen Chad J. Shuey Charles L. Walthall Craig S. T. Daughtry

-This is the second paper of the series on atmospheric correction of ETM+ land surface imagery. In the first paper, a new algorithm that corrects heterogeneous aerosol scattering and surface adjacency effects was presented. In this study, our objectives are to 1) evaluate the accuracy of this new atmospheric correction algorithm using ground radiometric measurements; 2) apply this algorithm to ...

2016
Ramin Pashaie Nabil H. Farhat Nabil Farhat

A thin film of electron-trapping material (ETM), when combined with suitable optical bistability, is considered as medium for optical implementation of bio-inspired neural nets. The optical mechanism of ETM under blue light and NIR exposure has the inherent ability at the material level to mimic the crucial components of the stylized Hodgkin-Huxley model of biological neuron. Combining this uni...

2014
Maikel L. van Eck Joos C. A. M. Buijs Boudewijn F. van Dongen

The Evolutionary Tree Miner (ETM) is a genetic process discovery algorithm that enables the user to guide the discovery process based on preferences with respect to four process model quality dimensions: replay fitness, precision, generalization and simplicity. Traditionally, the ETM algorithm uses random creation of process models for the initial population, as well as random mutation and cros...

2007
C G Marston R P Armitage F M Danson P Giraudoux A Ramirez P S Craig

This work modelled the spatial distribution of the rodent species that act as hosts in the transmission cycle of the parasitic tapeworm Echinococcus multilocularis. The rodent distribution was modelled in relation to landscape characteristics in four ways, using (1) a Landsat ETM+ derived hard classification, (2) single-image Landsat ETM+ derived NDVI, (3) single-image MODIS 16-day composite ND...

2001
Jeffrey G. Masek Miroslav Honzak Samuel N. Goward Ping Liu Edwin Pak

The Landsat-7 ETM+ sensor offers several enhancements over the Landsat-4,5 Thematic Mapper (TM) sensor, including increased spectral information content, improved geodetic accuracy, reduced noise, reliable calibration, the addition of a panchromatic band, and improved spatial resolution of the thermal band. In this paper, we present some initial comparisons between Landsat-5 TM and Landsat-7 ET...

2015
Andreas Guta Joern Wuebker Miguel Graça Yunsu Kim Hermann Ney

We propose a novel extended translation model (ETM) to counteract some problems in phrase-based translation: The lack of translation context when using singleword phrases and uncaptured dependencies beyond phrase boundaries. The ETM operates on word-level and augments the IBM models by an additional bilingual word pair and a reordering operation. Its implementation in a phrase-based decoder int...

2005
L. Zhang N. Fujiwara K. Muramatsu M. Daigo S. Furumi

* Corresponding author. E-mail: [email protected] Abstract – The universal pattern decomposition method (UPDM) has been successfully applied to simulated data for Landsat/ETM+, Terra/MODIS, ADEOS-II/GLI and others using ground-measured data. The UPDM is tailored to decrease dimensions of hyper multi-spectral data that have sensor-independent characteristics and thus exploit hyper multi-s...

2018
Huiying Zhao Xiujiao Qin Shuai Wang Xiwei Sun Bin Dong

[This corrects the article DOI: 10.3892/etm.2017.4935.].

2017
Yunzhi Chen Fang Guo Zheng Ru Hongru Kong Hongwei Sun Huajun Yu Wenjun Yang Qiyu Zhang Mengtao Zhou

[This corrects the article DOI: 10.3892/etm.2017.4999.].

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