scholarly journals Analysis of Detailed Geographical Features using Shadow of Satellite Images in the Case of Illegal dumping site on the Border between Aomori and Iwate Prefectures

2006 ◽  
Vol 14 (1/2) ◽  
pp. 65-68 ◽  
Author(s):  
Takanori SASAKI ◽  
Wenhui ZHAO ◽  
Shigetaka FUJITA
Keyword(s):  
Satellite Images ◽  
Dumping Site ◽  
Illegal Dumping

scholarly journals Isolation and Identification of Mycobacteria from Soils at an Illegal Dumping Site and Landfills in Japan

2006 ◽  
Vol 50 (7) ◽  
pp. 513-524 ◽  
Author(s):  
Yan Wang ◽  
Midori Ogawa ◽  
Kazumasa Fukuda ◽  
Hiroshi Miyamoto ◽  
Hatsumi Taniguchi
Keyword(s):  
Isolation And Identification ◽  
Dumping Site ◽  
Illegal Dumping

scholarly journals Analysis of the Inorganic Elements in the Streams around an Illegal Dumping Site at the Boundary between Aomori and Iwate Prefectures by ICP-MS

2007 ◽  
Vol 56 (12) ◽  
pp. 1177-1181 ◽  
Author(s):  
Takeshi Muranaka ◽  
Norikazu Oshima ◽  
Takayuki Kohiruimaki ◽  
Eri S. Ayukawa
Keyword(s):  
Inorganic Elements ◽  
Dumping Site ◽  
Illegal Dumping ◽  
Icp Ms

scholarly journals Predictors of Beta-Hexachlorocyclohexane blood levels among people living close to a chemical plant and an illegal dumping site

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
S. Narduzzi ◽  
F. Fantini ◽  
F. Blasetti ◽  
P. Rantakokko ◽  
H. Kiviranta ◽  
...  
Keyword(s):  
Chemical Plant ◽  
Blood Levels ◽  
Dumping Site ◽  
Illegal Dumping

scholarly journals A New Approach for Prediction of 1,4-Dioxane Distribution in Groundwater at an Illegal Dumping Site in Japan

2013 ◽  
Vol 69 (6) ◽  
pp. II_247-II_258
Author(s):  
Ramrav Hem ◽  
Toru Furuichi ◽  
Kazuei Ishii ◽  
Yu-Chi Weng
Keyword(s):  
New Approach ◽  
Dumping Site ◽  
Illegal Dumping

The machine training in problems of satellite images’s processing

Metrologiya ◽  
2020 ◽  
pp. 15-37
Author(s):  
L. P. Bass ◽  
Yu. A. Plastinin ◽  
I. Yu. Skryabysheva
Keyword(s):  
Remote Sensing ◽  
Neural Networks ◽  
Computer Vision ◽  
Satellite Images ◽  
Vision Systems ◽  
Earth Remote Sensing ◽  
Practical Applications ◽  
Convolution Neural Networks ◽  
Computer Vision Systems ◽  
Trained Neural Network

Use of the technical (computer) vision systems for Earth remote sensing is considered. An overview of software and hardware used in computer vision systems for processing satellite images is submitted. Algorithmic methods of the data processing with use of the trained neural network are described. Examples of the algorithmic processing of satellite images by means of artificial convolution neural networks are given. Ways of accuracy increase of satellite images recognition are defined. Practical applications of convolution neural networks onboard microsatellites for Earth remote sensing are presented.

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