Multi-date satellite image processing techniques for European forest mapping

1995 ◽  
Author(s):  
Niall L. McCormick ◽  
Pamela J. Kennedy ◽  
S. Folving
Keyword(s):  
Image Processing ◽  
Satellite Image ◽  
Forest Mapping ◽  
Image Processing Techniques ◽  
Satellite Image Processing ◽  
European Forest ◽  
Processing Techniques

scholarly journals Image Processing Techniques for Analysis of Satellite Images for Historical Maps Classification—An Overview

2020 ◽  
Vol 10 (12) ◽  
pp. 4207 ◽  
Author(s):  
Anju Asokan ◽  
J. Anitha ◽  
Monica Ciobanu ◽  
Andrei Gabor ◽  
Antoanela Naaji ◽  
...  
Keyword(s):  
Image Processing ◽  
Satellite Images ◽  
Satellite Image ◽  
Historical Maps ◽  
Satellite Imaging ◽  
Image Processing Techniques ◽  
Innovative Solutions ◽  
Satellite Image Processing ◽  
Processing Techniques ◽  
Selection Of

Historical maps classification has become an important application in today’s scenario of everchanging land boundaries. Historical map changes include the change in boundaries of cities/states, vegetation regions, water bodies and so forth. Change detection in these regions are mainly carried out via satellite images. Hence, an extensive knowledge on satellite image processing is necessary for historical map classification applications. An exhaustive analysis on the merits and demerits of many satellite image processing methods are discussed in this paper. Though several computational methods are available, different methods perform differently for the various satellite image processing applications. Wrong selection of methods will lead to inferior results for a specific application. This work highlights the methods and the suitable satellite imaging methods associated with these applications. Several comparative analyses are also performed in this work to show the suitability of several methods. This work will help support the selection of innovative solutions for the different problems associated with satellite image processing applications.

scholarly journals Photogrammetry and image processing techniques for beach monitoring

2020 ◽  
pp. 175
Author(s):  
Elena Sánchez-García ◽  
Ángel Balaguer-Beser ◽  
Josep Eliseu Pardo-Pascual
Keyword(s):  
Image Processing ◽  
Satellite Images ◽  
Morphological Changes ◽  
Satellite Image ◽  
Public Information ◽  
Quality Data ◽  
Satellite Image Processing ◽  
Processing Techniques ◽  
Incident Waves ◽  
Derived Data

<p>The land-water boundary varies according to the sea level and the shape of a beach profile that is continuously modelled by incident waves. Attempting to model the response of a landscape as geomorphologically volatile as beaches requires multiple precise measurements to recognize responses to the actions of various geomorphic agents. It is therefore essential to have monitoring systems capable of systematically recording the shoreline accurately and effectively. New methods and tools are required to efficiently capture, characterize, and analyze information – and so obtain geomorphologically significant indicators. This is the aim of the doctoral thesis, focusing on the development of tools and procedures for coastal monitoring using satellite images and terrestrial photographs. The work brings satellite image processing and photogrammetric solutions to scientists, engineers, and coastal managers by providing results that demonstrate the usefulness of these viable and lowcost techniques. Existing and freely accessible public information (satellite images, video-derived data, or crowdsourced photographs) can be converted into high quality data for monitoring morphological changes on beaches and thus help achieve a sustainable management of coastal resources.</p>

scholarly journals A Methodology for Tracing Lived-in Urban Heritage based on GPS and Satellite Image Processing Technology

2020 ◽  
Vol 9 (3S) ◽  
pp. 47-50
Keyword(s):  
Image Processing ◽  
Urban Development ◽  
Satellite Image ◽  
Economic Value ◽  
Original Form ◽  
Urban Heritage ◽  
Satellite Image Processing ◽  
Increasing Demand ◽  
The Aesthetic ◽  
Processing Techniques

The process of urbanization and urban development in cities at an alarming rate pose numerous challenges for preservation and conservation of lived-in urban heritage therein. With the increasing demand for land and the resultant emphasis given to direct economic value of urban land, the significance of urban history and heritage in cities is underrated in the process of urban development. However, the aesthetic, cultural and heritage value they bring into cities are enormous and crucial for the sustenance of a city in terms of its history, image and identity. It has been a challenging task for urban Engineers, Architects and policy makers to trace historical monuments and help them preserve in cities. In this backdrop, this study intends to introduce a technology driven methodology to investigate on disappearing urban heritage and help to trace its original form and structure so that future preservation strategies could be implemented based on the same. For this purpose, we studied the remains of the 15th Century Citadel Ramparts of the Kotte Kingdom in the suburban Colombo, using Magellan Meridian GPS technology, ArcGIS ArcMap software and satellite image processing techniques. The results show that this methodology is appropriate, with certain limitations, in tracing the original form and structure of the historic Citadel Rampart in historic Kotte Kingdom in Colombo. In this paper, we discuss the systematic approach we adopted and the data processing techniques we used in our study.

Three-Dimensional Structure of Rotavirus-Fab Complex

1990 ◽  
Vol 48 (1) ◽  
pp. 238-239
Author(s):  
B.V.V. Prasad ◽  
E. Marietta ◽  
J.W. Burns ◽  
M.K. Estes ◽  
W. Chiu
Keyword(s):  
Image Processing ◽  
Smooth Surface ◽  
Three Dimensional ◽  
Outer Shell ◽  
Dimensional Structure ◽  
Structural Studies ◽  
Cell Penetration ◽  
Electron Cryomicroscopy ◽  
Image Processing Techniques ◽  
Processing Techniques

Rotaviruses are spherical, double-shelled particles. They have been identified as a major cause of infantile gastroenteritis worldwide. In our earlier studies we determined the three-dimensional structures of double-and single-shelled simian rotavirus embedded in vitreous ice using electron cryomicroscopy and image processing techniques to a resolution of 40Å. A distinctive feature of the rotavirus structure is the presence of 132 large channels spanning across both the shells at all 5- and 6-coordinated positions of a T=13ℓ icosahedral lattice. The outer shell has 60 spikes emanating from its relatively smooth surface. The inner shell, in contrast, exhibits a bristly surface made of 260 morphological units at all local and strict 3-fold axes (Fig.l).The outer shell of rotavirus is made up of two proteins, VP4 and VP7. VP7, a glycoprotein and a neutralization antigen, is the major component. VP4 has been implicated in several important functions such as cell penetration, hemagglutination, neutralization and virulence. From our earlier studies we had proposed that the spikes correspond to VP4 and the rest of the surface is composed of VP7. Our recent structural studies, using the same techniques, with monoclonal antibodies specific to VP4 have established that surface spikes are made up of VP4.

A Survey on Detection and Classification of Brain Tumor Using Image Processing Techniques

2020 ◽  
pp. 967-973
Author(s):  
V. Deepika ◽  
T. Rajasenbagam
Keyword(s):  
Image Processing ◽  
Brain Tumor ◽  
Soft Tissues ◽  
Tumor Detection ◽  
Tumor Classification ◽  
Normal Brain ◽  
Image Processing Techniques ◽  
Normal Brain Function ◽  
Processing Techniques ◽  
The Brain

A brain tumor is an uncontrolled growth of abnormal brain tissue that can interfere with normal brain function. Although various methods have been developed for brain tumor classification, tumor detection and multiclass classification remain challenging due to the complex characteristics of the brain tumor. Brain tumor detection and classification are one of the most challenging and time-consuming tasks in the processing of medical images. MRI (Magnetic Resonance Imaging) is a visual imaging technique, which provides a information about the soft tissues of the human body, which helps identify the brain tumor. Proper diagnosis can prevent a patient's health to some extent. This paper presents a review of various detection and classification methods for brain tumor classification using image processing techniques.

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