scholarly journals The accounting method of secrecy properties of image in remote sensing of the Earth

2021 ◽  
Vol 937 (4) ◽  
pp. 042073
Author(s):  
V S Khramov ◽  
S A Kramarov ◽  
A R Belyaev ◽  
E Golubenko ◽  
E Grebenyuk
Keyword(s):  
Computer Games ◽  
Satellite Images ◽  
Spatial Information ◽  
Fine Art ◽  
Practical Implementation ◽  
Geometric Means ◽  
The Earth ◽  
The Many ◽  
Information Objects

Abstract Among the many ways of representing and processing space information, polygonal ones are not so often found, although polygons, as geometric means of describing spatial information objects, are very common in wide internet content. In computer games, design, even in fine art and many other applications, the polygonal description of such objects is not only widely present, but also received from developers, both theory and practical implementation, a fairly wide set of mathematical and software tools. In this article, it is proposed to extend some well-proven developments in the analysis and transformation of computer images to real digitized satellite images, as well as to use combinations of satellite processing methods and polygonal methods which are characteristic for virtual reality conditions. In addition, the paper provides approaches for detecting hidden and being hidden artifacts – information bookmarks. The definitions of the main directions of intel-latency are given, as an important property of complex images of the Earth’s surface obtained during space monitoring of problem-oriented territories. A variant of the classification of the types of manifestation of this property is given, as well as its description in the language of soft models.

scholarly journals Deep Convolutional Neural Network for Mapping Smallholder Agriculture Using High Spatial Resolution Satellite Image

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2398 ◽  
Author(s):  
Bin Xie ◽  
Hankui K. Zhang ◽  
Jie Xue
Keyword(s):  
Neural Network ◽  
Random Forest ◽  
Land Cover ◽  
Convolutional Neural Network ◽  
Satellite Images ◽  
Spatial Information ◽  
Deep Convolutional Neural Network ◽  
Crop Types ◽  
Pooling Strategy

In classification of satellite images acquired over smallholder agricultural landscape with complex spectral profiles of various crop types, exploring image spatial information is important. The deep convolutional neural network (CNN), originally designed for natural image recognition in the computer vision field, can automatically explore high level spatial information and thus is promising for such tasks. This study tried to evaluate different CNN structures for classification of four smallholder agricultural landscapes in Heilongjiang, China using pan-sharpened 2 m GaoFen-1 (meaning high resolution in Chinese) satellite images. CNN with three pooling strategies: without pooling, with max pooling and with average pooling, were evaluated and compared with random forest. Two different numbers (~70,000 and ~290,000) of CNN learnable parameters were examined for each pooling strategy. The training and testing samples were systematically sampled from reference land cover maps to ensure sample distribution proportional to the reference land cover occurrence and included 60,000–400,000 pixels to ensure effective training. Testing sample classification results in the four study areas showed that the best pooling strategy was the average pooling CNN and that the CNN significantly outperformed random forest (2.4–3.3% higher overall accuracy and 0.05–0.24 higher kappa coefficient). Visual examination of CNN classification maps showed that CNN can discriminate better the spectrally similar crop types by effectively exploring spatial information. CNN was still significantly outperformed random forest using training samples that were evenly distributed among classes. Furthermore, future research to improve CNN performance was discussed.

scholarly journals Analysis of the Influence of Vegetation Index Choice on the Classification of Satellite Images for Monitoring Forest Pathology

2020 ◽  
pp. paper49-1-paper49-12
Author(s):  
Evgeniy Trubakov ◽  
Olga Trubakova
Keyword(s):  
Satellite Images ◽  
Vegetation Index ◽  
Vegetation Indices ◽  
Multispectral Images ◽  
Classification Methods ◽  
Planted Forests ◽  
The Earth ◽  
Evaluation Algorithm ◽  
And Control

Rational use of natural resources and control over their recovery, as well as over destruction due to natural and technogenic causes, is currently one of the most urgent problems of the humanity. Forests are no exception. Multispectral images from Earth’s satellites are most often used for monitoring changes in forest planting. This is due to the fact that merging images taken in certain spectra makes it possible to recognize vegetation containing chlorophyll quite well. It also allows to detect changes in the level of chlorophyll, which shows the differences between healthy and damaged plants. Large areas of planted forests create the need to process huge amounts of data, which is difficult to do manually. One of the most important stages of image processing is the classification of objects in these images. This paper deals with various classification methods used to solve the problem of classifying images of remote sensing of the Earth. As a result, it was decided to evaluate the accuracy of classification methods on various vegetation indices. In the course of the study, the evaluation algorithm was determined, as well as one of the options for analyzing the results obtained. Conclusions were made about the work of classification methods on different vegetation indices.

scholarly journals Modeling global geometric spatial information for rotation invariant classification of satellite images

PLoS ONE ◽  
2019 ◽  
Vol 14 (7) ◽  
pp. e0219833 ◽  
Author(s):  
Nouman Ali ◽  
Bushra Zafar ◽  
Muhammad Kashif Iqbal ◽  
Muhammad Sajid ◽  
Muhammad Yamin Younis ◽  
...  
Keyword(s):  
Satellite Images ◽  
Spatial Information ◽  
Rotation Invariant

DETECTION OF ROADS FROM SATELLITE IMAGES USING OPTIMAL SEARCH

2000 ◽  
Vol 14 (08) ◽  
pp. 1009-1023 ◽  
Author(s):  
YAN RIANTO ◽  
SHOZO KONDO ◽  
TALGUK KIM
Keyword(s):  
High Speed ◽  
Satellite Images ◽  
Detection Theory ◽  
Global Information ◽  
Optimal Search ◽  
Parallel Edge ◽  
Binary Images ◽  
The Earth ◽  
Detection Filter

Since networks of main roads are basic information for the classification of use of the earth surface, the automatic detection of roads from satellite images is a very important issue. In this paper, a new detection theory is proposed which can overcome drawbacks of current theories and detect plural roads in an image with high speed and high precision. Firstly, binary images representing edges are used to evaluate the possibility for a road to pass on a given pixel. An 8-directions-filter, a clearing filter and a parallel-edge-detection filter are proposed which can bring insufficient local information to each other to obtain global information enough to detect a road and by which the possibility of a road-passing on the pixel can be effectively evaluated. Secondly, by using the Hough transform and the optimal search method it is possible to detect a complete road. This detection theory does not depend on the size of image and can detect all the roads in an image including intersecting and T-type roads.

scholarly journals JAMUR DALAM EKSPRESI SENI KRIYA KAYU

CORAK ◽  
2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Nurul Iftitah Abrar ◽  
Timbul Raharjo
Keyword(s):  
Fine Art ◽  
Natural Object ◽  
Main Ingredient ◽  
Parasitic Fungi ◽  
The Earth ◽  
Applied Art ◽  
Valid Data ◽  
The Creation ◽  
Unique Variation

The fungus is one known being that has its own kingdom namely the kingdom fungi. Visually, a fungus has a great unique variation with the interesting natural colors; this case has triggered the writer’s imagination as a creator to create a work that becomes kingdom fungi as inspiration sources. In the creation of this work, the writer has chosen the theme of Fungi in the Craft Expressions “Parasitism: Fungi’ Survival System as a Metaphor Human’s Survival System to become system classification of fungi’survival consists of Parasitic Fungi, Saproba Fungi, and Symbiosis Mutualism Fungi as a metaphor system of human’s survival that consist of Parasitism, Commensalism, and Mutualism Symbiosis. The fungi who survives its live in a way be a parasite the same as human who like as a parasitic in the earth. In the creation of this art, the exploration stage, the writer examined about fungi as the object that become the sources in deeply, both in terms of visual or as discourses and the valid data that covered about fungi so that it could help the writer to trigger the imagination largely. It could to ease at the design making. In the next stage, the writer through the improvised stage by doing some experiment thus in the end decided to choose a ferns super as a major media term using the printing resin technique as a helped media in exploring a ferns that has interesting motives and texture as a main ingredient in this creation. The writer used the theory mimesis by taking the kingdom fungi as a natural object that is copy to furnish discourse in review the creation of these artworks. The writer also used the theory of semiotics metaphors as a means of rhetorical choice in the process of semiotics between the two objects that became inspiration sources and also the theory of aesthetic in reviewing of aesthetic side either objectively or subjectively. The writer’s work would not be understood clearly without any a better understanding deeply about the classification of fungi and human survival systems, so that the three theories have an important role in the craft creation like Applied Art (Lamp) and Fine Art (Expression). Keywords: Kingdom Fungi, Heterotrophy, Parasitism, Commensalism, Symbiosis Mutualism.  Jamur merupakan salah satu makhluk hidup yang memiliki kingdom tersendiri yaitu kingdom fungi. Secara visual jamur memiliki berbagai macam bentuk yang unik dengan warna-warna alami yang menarik, hal ini memicu imajinasi penulis selaku creator untuk menciptakan sebuah karya yang menjadikan kingdom fungi sebagai sumber inspirasi. Dalam penciptaan karya dengan mengusung tema Jamur dalam Ekspresi Seni Kriya “Parasitisme: Sistem Bertahan Hidup Jamur Sebagai Metafor Sistem Bertahan Hidup Manusia” ini, penulis menjadikan klasifikasi sistem bertahan hidup jamur yang terdiri dari Jamur Parasit, Jamur Saproba, dan Jamur Simbiosis Mutualisme sebagai metafor sistem bertahan hidup manusia yang terdiri dari Simbiosis Parasitisme, Simbiosis Komensalisme dan Simbiosis Mutualisme. jamur yang bertahan hidup dengan cara menjadi parasit sama halnya dengan manusia yang bagaikan parasit dibumi. Dalam penciptaan karya ini, pada tahap eksplorasi, penulis mengkaji lebih dalam tentang objek yang menjadi sumber inspirasi yaitu jamur, baik dari segi visual maupun berupa wacana dan data-data valid yang mengulas tentang jamur sehingga membantu penulis dalam memicu imajinasi yang lebih luas agar mempermudah pada tahap pembuatan desain. Pada tahapan selanjutnya, penulis melalui tahap improvisasi dengan melakukan beberapa eksperimen hingga pada akhirnya penulis memutuskan untuk memilih batang pakis super sebagai media utama dalam perwujudannya dengan mengunakan teknik cetak resin sebagai media bantu dalam mengeksplorasi batang pakis yang memiliki motif dan tekstur yang menarik sebagai bahan utama dalam penciptaan ini. Untuk melengkapi wacana dalam mengulas penciptaan karya seni ini, penulis menggunakan teori mimesis dengan menjadikan kingdom fungi sebagai objek alam yang ditiru. Penulis juga menggunakan teori semiotika berupa metafor sebagai sarana retorik pilihan dalam proses semiosis diantara kedua objek yang menjadi sumber inspirasi penciptaan serta teori estetika dalam mengulas sisi estetik karya secara objektif maupun subjektif. Karya penulis tidak akan dipahami secara gamblang tanpa adanya pemahaman lebih mendalam tentang klasifikasi sistem bertahan hidup jamur dan manusia, sehingga ketiga teori tersebut memiliki peran yang cukup penting dalam penciptaan karya seni kriya yang berbentuk Aplied Art (lampu) dan Fine Art (Ekspresi). Kata kunci: Kingdom Fungi, Heterotrof, Parasitisme, Komensalisme, Simbiosis Mutualisme.

scholarly journals Minería de datos con conjuntos aproximados para clasificación de imágenes satelitales (Data Mining with Rough Sets for Classification of Satellite Images)

2011 ◽  
Author(s):  
Juan Olegario Monroy Vásquez
Keyword(s):  
Data Mining ◽  
Rough Set ◽  
Rough Sets ◽  
Satellite Images ◽  
Specific Time ◽  
Data Mining Algorithms ◽  
The Earth ◽  
Palabras Clave ◽  
Mining Algorithms

Este artículo trata del estado de arte frente al uso de Rough Set en la clasificación de imágenes satelitales, ésta técnica hace parte de un conjunto de algoritmos que se agrupan dentro de lo que se denomina minería de datos. Hasta ahora Rough set se ha aplicado preferencialmente en el descubrimiento de insolvencias en datos obtenidos de manera experimental durante un lapso de tiempo específico, característica que ha llevado a que se implemente con éxito en empresas que requieren tomar decisiones basadas en los análisis de cifras de producción en periodos de tiempo determinados; de este conjunto de algoritmos de minería de datos, muchos se han implementado en la clasificación de imágenes satelitales buscando determinar o bosquejar elementos presentes en la superficie terrestre de acuerdo a su comportamiento frente a la radianza electromagnética y así distinguir patrones dentro de las imágenes. Palabras Clave: Conjuntos Aproximados, Imágenes Satelitales, indiscernibleThis article is about art state in front of The Rough Set use in the satellite images classification, this technique takes part of a set of techniques and algorithms which are grouped in the data mining. Till now Rough set has been applied preferentially in the discovery of information insolvencies obtained in an experimental way during a specific time, this characteristic has let it to be implemented successfully in companies which need to make decisions based on the production numbers analysis in certain periods of time; many of these data mining algorithms set have been implemented in the classification of the satellite images seeking to determine or to draw the elements on the earth surface according to its behaviour towards the electromagnetic radiance and in this way to distinguish patterns inside these images. Keywords: Rough Set, Satellite Images, indiscernible

Hard and light gamification in education: Which one to choose?

2020 ◽  
Vol 1 (1) ◽  
pp. 20-27
Author(s):  
E. V. Karmanova ◽  
V. A. Shelemetyeva
Keyword(s):  
Computer Games ◽  
Educational Process ◽  
Course Development ◽  
Learning Technology ◽  
Training Course ◽  
Resource Requirements ◽  
E Learning ◽  
Characteristic Features ◽  
Game Elements

The article is devoted to the implementation of gamification methods in the educational process. The characteristic features of light and hard gamification are presented. The appropriateness of using gamification when applying e-learning technology is considered. Classification of courses based on hard gamification taking into account the technological features of development is proposed: courses-presentations, courses — computer games, VR/AR courses. The article also illustrates the use of various game elements of easy gamification using the example of the module “Level up! — Gamification” of the Moodle LMS. The capabilities of this module can be used in an electronic course by any teacher who has the skills of working with the Moodle.The authors present the analysis of the development of a training course in sales techniques using hard and light gamification technologies, where the course development was assessed for its complexity, manufacturability, and resource requirements. The results of the analysis showed that the development of courses using hard gamification requires much more financial and time-consuming than the development of courses using light gamification.The article evaluates the results of the educational intensiveness intense “Island 10–22”, held in July 2019 in Skolkovo, in which 100 university teams, teams of research and educational centers, teams of schoolchildren — winners of competitions, olympiads, hackathons (“Young Talents”) participated. The results of the intense confirmed the effectiveness of the use of light gamification methods in adult training. Thus, the conclusions presented in the article reveal a number of advantages that light gamification has in comparison with hard gamification.

DARCY RIBEIRO UNIVERSITY CAMPUS MAP – 2017- TECHNICAL NOTE

2018 ◽  
Vol 7 (2) ◽  
Author(s):  
Rafael Sanzio Araújo dos Anjos ◽  
Jose Leandro de Araujo Conceição ◽  
Jõao Emanuel ◽  
Matheus Nunes
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Technical Note ◽  
University Campus ◽  
Communication Tool ◽  
Sources Of Information ◽  
Data Manipulation ◽  
Geographic Space ◽  
The Many ◽  
New Generation

The spatial information regarding the use of territory is one of the many strategies used to answer and to inform about what happened, what is happening and what may happen in geographic space. Therefore, the mapping of land use as a communication tool for the spatial data made significant progress in improving sources of information, especially over the last few decades, with new generation remote sensing products for data manipulation.

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