scholarly journals Using Open-Source Components to Process Interferometric TerraSAR-X Spotlight Data

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Michael Jendryke ◽  
Timo Balz ◽  
Houjun Jiang ◽  
Mingsheng Liao ◽  
Uwe Stilla
Keyword(s):  
Satellite Images ◽  
High Spatial Resolution ◽  
Las Vegas ◽  
Beam Steering ◽  
Object Oriented ◽  
Research Community ◽  
The Usa ◽  
Integrated Processing ◽  
Shift Frequency ◽  
Processing Steps

We address the processing of interferometric TerraSAR-X and TanDEM-X spotlight data. Processing steps necessary to derive interferograms at high spatial resolution from bi- and monostatic satellite images will be explained. The spotlight image mode is a beam steering technique focusing the antenna on a specific ground area. This results in a linear Doppler shift frequency in azimuth direction, which has to be matched to the master image. While shifting the interpolation kernel in azimuth during resampling, the frequency spectrum of the slave image is aligned to the master image. We show how to process bistatic TanDEM-X images and propose an integrated processing option for monostatic TerraSAR-X data in the Delft Object-oriented Radar Interferometric Software (DORIS). The paper focuses on the implementation of this algorithm for high-resolution spotlight InSAR in a public domain tool; hence, it becomes available to a larger research community. The results are presented for three test areas: Uluru in Australia, Las Vegas in the USA, and Lüneburg in Germany.

scholarly journals Remote Sensing Methods for the Retrieval of Inventory and Bioproductivity Parameters of Forests Using High Resolution Satellite Images

2019 ◽  
Vol 75 ◽  
pp. 01003 ◽  
Author(s):  
Egor Dmitriev ◽  
Vladimir Kozoderov ◽  
Sergey Donskoy ◽  
Petr Melnik ◽  
Anton Sokolov
Keyword(s):  
Satellite Images ◽  
High Spatial Resolution ◽  
Texture Features ◽  
Forest Species ◽  
Effective Learning ◽  
Estimated Parameters ◽  
High Resolution Satellite Images ◽  
Automated Processing ◽  
Tver Region ◽  
Remote Sensing Methods

A method for automated processing high spatial resolution satellite images is proposed to retrieve inventory and bioproductivity parameters of forest stands. The method includes effective learning classifiers, inverse modeling, and regression modeling of the estimated parameters. Spectral and texture features are used to classify forest species. The results of test experiments for the selected area of Savvatievskoe forestry (Russia, Tver region) are presented. Accuracy estimates obtained using ground-based measurements demonstrate the effectiveness of using the proposed techniques to automate the process of updating information for the State Forest Inventory program of Russia.

Ice drift in Peter the Great Bay

2014 ◽  
Vol 178 (3) ◽  
pp. 148-156
Author(s):  
Vyacheslav A. Dubina ◽  
Vladimir V. Plotnikov ◽  
Nina S. Kot
Keyword(s):  
Satellite Images ◽  
High Spatial Resolution ◽  
Peter The Great Bay ◽  
Western Coast ◽  
Mean Values ◽  
Peter The Great ◽  
Great Bay ◽  
Ice Drift ◽  
The Right ◽  
First Time

Dynamics of the sea ice cover in Peter the Great Bay is considered, for the first time for its whole area, on the base of satellite images received in 2004-2011 from the spectroradiometers MODIS mounted on the satellites Terra and Aqua. High spatial resolution maps of the ice drift are constructed for various wind conditions. Mean values of the drift velocity and wind coefficient are calculated for four parts of the Bay. In usual conditions of winter monsoon, the ice in the central part of Peter the Great Bay drifts southward with the velocity 0.5-0.6 m/s with deviation from the wind direction about 40° to the right; the ice at the western coast drifts along the island chain with the velocity 0.1-0.4 m/s under wind of any direction in the quadrant from northwest to northeast.

scholarly journals Surveillance Aesthetics in Latin America: Work in progress

2012 ◽  
Vol 10 (1) ◽  
pp. 83-89 ◽  
Author(s):  
Fernanda Bruno ◽  
Paola Barreto ◽  
Milena Szafir
Keyword(s):  
Latin America ◽  
Los Angeles ◽  
Latin American ◽  
Satellite Images ◽  
Surveillance Culture ◽  
The Usa ◽  
On Line ◽  
And Control ◽  
Selection Of

This on line curatorship presents a selection of 11 works by Latin American artists who incorporate in their creations technologies traditionally linked to surveillance and control processes. By Surveillance Aesthetics we understand a compound of artistic practices, which include the appropriation of dispositifs such as closed circuit video, webcams, satellite images, algorithms and computer vision among others, placing them within new visibility, attention and experience regimes. The term referred to in the title of this exhibition is intended more as a vector of research rather than the determination of a field, as pointed by Arlindo Machado under the term “surveillance culture”. (Machado 1991) In this sense, a Latin America Surveillance Aesthetics exhibition is a way to propose, starting from the works presented here, a myriad of questions. How and to what extent do the destinies of surveillance devices reverberate or are subverted by market, security and media logics in our societies? If, in Europe and in the USA, surveillance is a subject related to the war against terror and border control, what can be said about Latin America? What forces and conflicts are involved? How have artistic practices been creating and acting in relation to these forces and conflicts? Successful panoramas of so called Surveillance Art already take place in Europe and North America for at least three decades, the exhibition “Surveillance”, at the Los Angeles Contemporary Exhibitions being one of the first initiatives in this domain. In Latin America however, art produced in the context of surveillance devices and processes is still seen as an isolated event. Our intention is to assemble a selection of works indicating the existence of a wider base of production, which cannot be considered eventual.The online exhibition can be accessed here.http://www.pec.ufrj.br/surveillanceaestheticslatina/

scholarly journals Comparison of supervised classifiers in the discrimin ation of preservation areas in a hydroelectric reservoir

2019 ◽  
Vol 11 (3) ◽  
Author(s):  
Jefferson Francisco Soares ◽  
Gláucia Miranda Ramirez ◽  
Mirléia Aparecida de Carvalho ◽  
Marcelo de Carvalho Alves ◽  
Christiany Mattioli Sarmiento ◽  
...  
Keyword(s):  
Land Use ◽  
Spatial Resolution ◽  
Nearest Neighbor ◽  
High Spatial Resolution ◽  
Object Oriented ◽  
Visual Object ◽  
Hydroelectric Power ◽  
K Nearest Neighbor ◽  
High Spatial Resolution Image ◽  
Resolution Image

The maintenance of riparian forests is considered one of the main vegetative practices for mitigating the degradation of water resources and is mandatory by law. However, in Brazil there is still a progressive and constant decharacterization of these areas. Facing this reality, it is necessary to broaden researches that identify the occurring changes and provide efficient solutions at a fast pace and low cost. Remote sensing techniques show great application potential in characterizing natural resources. The objective of this work was to map, to characterize the land use and occupation and to verify the best method of high spatial resolution image classification of the Permanent Preservation Areas of the Funil Hydroelectric Power Plant reservoir, located between the municipalities of Lavras, Perdões, Bom Sucesso, Ibituruna, Ijací and Itumirim, in the state of Minas Gerais. The methods used to classify the high spatial resolution image from the Quickbird satellite were visual, object-oriented and pixel-by-pixel. Results showed the best method for mapping land use and occupation of the study area was object-oriented classification using the K-nearest neighbor algorithm, with kappa coefficient of 0.88 and global accuracy of 91.40%.

A hybrid method combining pixel-based and object-oriented methods and its application in Hungary using Chinese HJ-1 satellite images

2013 ◽  
Vol 34 (13) ◽  
pp. 4655-4668 ◽  
Author(s):  
Xiaojiang Li ◽  
Qingyan Meng ◽  
Xingfa Gu ◽  
Tamas Jancso ◽  
Tao Yu ◽  
...  
Keyword(s):  
Hybrid Method ◽  
Satellite Images ◽  
Object Oriented ◽  
Object Oriented Methods
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