scholarly journals 2 Generación del mapa de cobertura y uso del suelo de la provincia del Azuay

2017 ◽  
pp. 23-37
Author(s):  
Carlos Tenesaca Pacheco ◽  
Toa Quinde Pomavilla ◽  
Gabriela Delgado Orellana ◽  
Edgar Toledo López ◽  
Omar Delgado Inga
Keyword(s):  
Image Processing ◽  
Land Use ◽  
Digital Image Processing ◽  
Digital Image ◽  
Vegetation Cover ◽  
Provincial Government ◽  
Thematic Cartography ◽  
Three Stages ◽  
Definition Of ◽  
Sistemas De Informacion

La Universidad del Azuay, a través del Instituto de Estudios de Régimen Seccional del Ecuador (IERSE), suscribió un convenio de cooperación interinstitucional con el Gobierno Provincial del Azuay para la generación del “Mapa de Cobertura Vegetal y Uso de Suelo de la provincia del Azuay, a escala 1:5.000”, con base en las ortofotogra fías del año 2010, generadas por el proyecto SIGTIERRAS del Ministerio de Agricultura, Ganadería, Acuacultura y Pesca (MAGAP). La generación de la cartografía temática se realizó en tres etapas: a) recopilación de información de ortofotografías suministradas por la SENPLADES; b) definición de la leyenda de trabajo realizada en base a la información del mapa de cobertura y uso del suelo, generado por el MAGAP-MAE 2015; y c) digitalización de elementos geográficos y tratamiento digital de imágenes, la cual se realizó mediante el uso de sistemas de información geográfica (SIG) obteniendo como resultado 33 capas de información de elementos geográficos naturales y antrópicos.Palabras clave:Cobertura vegetal, uso del suelo, ortofotografía, provincia del Azuay. AbstractThe University of Azuay, through the Institute of Studies of Sectional Regime of Ecuador (IERSE), signed an agreement of interinstitutional cooperation with the Provincial Government of Azuay for the generation of the “Map of Vegetation Cover and Land Use of the province of Azuay, scale 1: 5,000” Based on the 2010 orthophotographs generated by the SIGTIERRAS project of the Ministry of Agriculture, Livestock, Aquaculture and Fisheries (MAGAP). The generation of thematic cartography was carried out in three stages: A) compilation of orthophoto information provided by SENPLADES; B) definition of the work legend based on the information of the map of coverage and land use generated by MAGAP-MAE 2015; and c) digitalization of geographic elements and digital image processing which was done through the use of geographic information systems (GIS) Resulting in 33 layers of information from natural and man-made geographic elements.Keywords:Vegetal cover, land use, orthophotography, province of Azuay.

scholarly journals Analysis of Buffer Zones of Limestone Mines Areas using Digital Image Processing Techniques

2020 ◽  
Vol 8 (6) ◽  
pp. 5431-5437
Keyword(s):  
Image Processing ◽  
Land Use ◽  
Digital Image Processing ◽  
Digital Image ◽  
Land Use Changes ◽  
Research Work ◽  
Mining Activities ◽  
Buffer Zones ◽  
Image Processing Techniques ◽  
Processing Techniques

The economic growth of any country crucially depends on the mining activity of that country. The mining activities require huge land for the extraction of mineral from the earth. The recent government policy imposing the systematic mapping of the land use and land cover in and around the mines. In the present study, work, the analysis of land used and land covered was carried out at Malkapur limestone mines. This study discussed the brief mapping of the buffer zones buffer zones areas in by using digital image processing techniques. This research work demonstrated the changes happened in and around mines for the buffer radius of 1 km, 5 km and 10 km. In this study it was found that there were no significant changes observed in land use which intern implies that mining activities are not having any impact in land use changes. Further, in this study, not much variation was reported against the forest land and water bodies situated in and around the mines

scholarly journals Definition of hue of different types of pokostivskiy granodiorite using digital image processing

2016 ◽  
Vol 4 (5(82)) ◽  
pp. 52 ◽  
Author(s):  
Valentyn Korobiichuk ◽  
Volodymyr Shamrai ◽  
Oksana Iziumova ◽  
Oleksandr Tolkach ◽  
Ruslan Sobolevskyi
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Different Types ◽  
Definition Of

scholarly journals We get the algorithms of our ground truths: Designing referential databases in digital image processing

2017 ◽  
Vol 47 (6) ◽  
pp. 811-840 ◽  
Author(s):  
Florian Jaton
Keyword(s):  
Image Processing ◽  
Computer Science ◽  
Digital Image Processing ◽  
Digital Image ◽  
Computational Models ◽  
Saliency Detection ◽  
Processing Algorithm ◽  
Image Processing Algorithm ◽  
Science Project ◽  
Definition Of

This article documents the practical efforts of a group of scientists designing an image-processing algorithm for saliency detection. By following the actors of this computer science project, the article shows that the problems often considered to be the starting points of computational models are in fact provisional results of time-consuming, collective and highly material processes that engage habits, desires, skills and values. In the project being studied, problematization processes lead to the constitution of referential databases called ‘ground truths’ that enable both the effective shaping of algorithms and the evaluation of their performances. Working as important common touchstones for research communities in image processing, the ground truths are inherited from prior problematization processes and may be imparted to subsequent ones. The ethnographic results of this study suggest two complementary analytical perspectives on algorithms: (1) an ‘axiomatic’ perspective that understands algorithms as sets of instructions designed to solve given problems computationally in the best possible way, and (2) a ‘problem-oriented’ perspective that understands algorithms as sets of instructions designed to computationally retrieve outputs designed and designated during specific problematization processes. If the axiomatic perspective on algorithms puts the emphasis on the numerical transformations of inputs into outputs, the problem-oriented perspective puts the emphasis on the definition of both inputs and outputs.

An Overview of Digital Image Processing and Recognition (Invited Paper)

1982 ◽  
Vol 40 ◽  
pp. 700-702
Author(s):  
R. C. Gonzalez
Keyword(s):  
Image Processing ◽  
New York ◽  
Digital Image Processing ◽  
Digital Image ◽  
Practical Implementation ◽  
Submarine Cable ◽  
Vigorous Growth ◽  
Digitized Pictures ◽  
Processing Techniques ◽  
And Storage

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.

A method to measure pores and fissures in geologic materials under S.E.M. by digital image processing

1978 ◽  
Vol 36 (1) ◽  
pp. 212-213
Author(s):  
L. Montoto ◽  
M. Montoto ◽  
A. Bel-Lan
Keyword(s):  
Image Processing ◽  
Optical Microscopy ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Processing ◽  
Free Surfaces ◽  
Geologic Materials ◽  
Automatic Information ◽  
Detector Output ◽  
Rock Specimens

INTRODUCTION.- The physical properties of rock masses are greatly influenced by their internal discontinuities, like pores and fissures. So, these need to be measured as a basis for interpretation. To avoid the basic difficulties of measurement under optical microscopy and analogic image systems, the authors use S.E.M. and multiband digital image processing. In S.E.M., analog signal processing has been used to further image enhancement (1), but automatic information extraction can be achieved by simple digital processing of S.E.M. images (2). The use of multiband image would overcome difficulties such as artifacts introduced by the relative positions of sample and detector or the typicals encountered in optical microscopy.DIGITAL IMAGE PROCESSING.- The studied rock specimens were in the form of flat deformation-free surfaces observed under a Phillips SEM model 500. The SEM detector output signal was recorded in picture form in b&w negatives and digitized using a Perkin Elmer 1010 MP flat microdensitometer.

Digital image processing methods applied to the study of annealing time on semiconductor-metal eutectic composites

1988 ◽  
Vol 46 ◽  
pp. 848-849
Author(s):  
J. Hefter
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Electronic Device ◽  
Processing System ◽  
Average Diameter ◽  
Eutectic Solidification ◽  
Metal Silicide ◽  
The Matrix ◽  
Microscopic Studies

Semiconductor-metal composites, formed by the eutectic solidification of silicon and a metal silicide have been under investigation for some time for a number of electronic device applications. This composite system is comprised of a silicon matrix containing extended metal-silicide rod-shaped structures aligned in parallel throughout the material. The average diameter of such a rod in a typical system is about 1 μm. Thus, characterization of the rod morphology by electron microscope methods is necessitated.The types of morphometric information that may be obtained from such microscopic studies coupled with image processing are (i) the area fraction of rods in the matrix, (ii) the average rod diameter, (iii) an average circularity (roundness), and (iv) the number density (Nd;rods/cm2). To acquire electron images of these materials, a digital image processing system (Tracor Northern 5500/5600) attached to a JEOL JXA-840 analytical SEM has been used.

Complementary Z-Contrast Imaging and Digital Image Processing

1985 ◽  
Vol 43 ◽  
pp. 304-305
Author(s):  
K. N. Colonna ◽  
G. Oliphant
Keyword(s):  
Image Processing ◽  
Heavy Metal ◽  
Digital Image Processing ◽  
Digital Image ◽  
Biological Tissue ◽  
Biological Imaging ◽  
Tissue Preparation ◽  
Contrast Imaging ◽  
Imaging Tool ◽  
Z Contrast

Harmonious use of Z-contrast imaging and digital image processing as an analytical imaging tool was developed and demonstrated in studying the elemental constitution of human and maturing rabbit spermatozoa. Due to its analog origin (Fig. 1), the Z-contrast image offers information unique to the science of biological imaging. Despite the information and distinct advantages it offers, the potential of Z-contrast imaging is extremely limited without the application of techniques of digital image processing. For the first time in biological imaging, this study demonstrates the tremendous potential involved in the complementary use of Z-contrast imaging and digital image processing.Imaging in the Z-contrast mode is powerful for three distinct reasons, the first of which involves tissue preparation. It affords biologists the opportunity to visualize biological tissue without the use of heavy metal fixatives and stains. For years biologists have used heavy metal components to compensate for the limited electron scattering properties of biological tissue.

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