EUV imaging: an aerial image study

Author(s):  
Martin Lowisch ◽  
Udo Dinger ◽  
Uwe Mickan ◽  
Tilmann Heil
Keyword(s):  
2001 ◽  
Author(s):  
Christof G. Krautschik ◽  
Masaaki Ito ◽  
Iwao Nishiyama ◽  
Takashi Mori

2005 ◽  
Author(s):  
M. Booth ◽  
O. Brisco ◽  
A. Brunton ◽  
J. Cashmore ◽  
P Elbourn ◽  
...  

2020 ◽  
Vol 81 (3) ◽  
pp. 46-51
Author(s):  
I. V. Prishchepova

The article discusses mechanisms of various kinds of disorthography (conditioned by the underdevelopment of morphological, phonemic and graphical bases of orthographic activity) in schoolchildren with general speech underdevelopment. It offers basic methodology and techniques to correct disorthography conditioned by inadequate child acquisition of phonemic, traditional principles of orthography and principles of graphics. A systematic work on the development of psychological and language components of this type of learning activity coupled with oral speech disorder overcoming facilitates successful acquisition of program requirements by such children. The following methods were used: practical (exercises, modelling, construction, schematization, games), visual (observation, image study, image and practical activity results demonstration, stimulus material demonstration), verbal methods (conversation, narration, method of language analysis and synthesis, grammar and orthographic tasks solution). The article covers the results of many years of positive experience in the correction of various types of disorthography of primary schoolchildren with general speech underdevelopment. Formation of grammatical and orthographic activity, the basics of speech and language competences, Russian language academic performance increase are prerequisites of linguistic personality development and child self-development. The practical importance of the research lies in the development and testing of methods of disorthography correction of children with general speech underdevelopment. The given methodology helps to improve their spelling skills and allows to carry out a purposeful and controlled formation of spelling activity. The results can be used in the work of speech therapy centers and educational establishments which carry out inclusive students’ education.


2017 ◽  
Vol 70 ◽  
pp. 161-182
Author(s):  
han-ra Park
Keyword(s):  

2019 ◽  
Vol 11 (10) ◽  
pp. 1157 ◽  
Author(s):  
Jorge Fuentes-Pacheco ◽  
Juan Torres-Olivares ◽  
Edgar Roman-Rangel ◽  
Salvador Cervantes ◽  
Porfirio Juarez-Lopez ◽  
...  

Crop segmentation is an important task in Precision Agriculture, where the use of aerial robots with an on-board camera has contributed to the development of new solution alternatives. We address the problem of fig plant segmentation in top-view RGB (Red-Green-Blue) images of a crop grown under open-field difficult circumstances of complex lighting conditions and non-ideal crop maintenance practices defined by local farmers. We present a Convolutional Neural Network (CNN) with an encoder-decoder architecture that classifies each pixel as crop or non-crop using only raw colour images as input. Our approach achieves a mean accuracy of 93.85% despite the complexity of the background and a highly variable visual appearance of the leaves. We make available our CNN code to the research community, as well as the aerial image data set and a hand-made ground truth segmentation with pixel precision to facilitate the comparison among different algorithms.


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