Temat: satellite image processing - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Podwyższanie rozdzielczości przestrzennej obrazów wielospektralnych Landsat7 ETM+ przy wykorzystaniu właściwości teksturainych i radiometrycznych kanału panchromatycznego
Autorzy:: Mróz, M.
Powiązania:: https://bibliotekanauki.pl/articles/131298.pdf
Data publikacji:: 2001
Wydawca:: Stowarzyszenie Geodetów Polskich
Tematy:: obraz satelitarny
przetwarzanie obrazów
Landsat7 ETM+
kanał panchromatyczny
satellite image
image processing
panchromatic band
Opis:: The methods of geometric resolution enhancement of multispectral Landsat 7 ETM- bands are presented. All referred to ordinary RGB-IHS transform carried out using panchromatic band and histogram matching technique. The proposed solutions consist in texture coefficient application on Intensity component. The properties of ETM+ multiresolution bands coregistration are shown.
Źródło:: Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2001, 11; 5-27-5-33
2083-2214
2391-9477
Pojawia się w:: Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Probabilistic morphological modeling of hydrographic networks from satellite imagery using Self-Organizing Maps
Autorzy:: Zaremba, M.
Palenichka, R.
Powiązania:: https://bibliotekanauki.pl/articles/206609.pdf
Data publikacji:: 2002
Wydawca:: Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:: łańcuch Markowa
modelowanie morfologiczne
odwzorowanie samoporządkujące
satelitarne rozpoznawanie obrazów
sieć neuronowa
szkieletyzacja
Markov chains
morphological modeling
neural networks
satellite image processing
self-organizing maps
skeletonization
Opis:: Adequate and concise representation of the shape of irregular objects from satellite imagery is a challenging problem in remote sensing. The conventional methods for cartographic shape representation are usually inaccurate and will provide only a rough shape description if the description process is to be fully automated. The method for automatic cartographic description of water basins presented in this paper is based on Self-Organizing Maps (SOM) - a class of neural networks with unsupervised learning. So-called structured SOM with local shape attributes such as scale and local connections of vertices are proposed for the description of object shape. The location of each vertex of piecewise linear generating curves that represent skeletons of the objects corresponds to the position of a particular SOM unit. The proposed method makes it possible to extract the object skeletons and to reconstruct the planar shapes of sparse objects based on the topological constraints of generating lines and the estimation of local scale. A context-dependent vertex connectivity test is proposed to enhance the skeletonization process. The test is based on the Markov random chain model of vertices belonging to the same generating line and the Bayesian decision-making principle. The experimental test results using Landsat-7 images demonstrate the accuracy of the proposed approach and its potential for fully automated mapping of hydrological objects.
Źródło:: Control and Cybernetics; 2002, 31, 2; 343-369
0324-8569
Pojawia się w:: Control and Cybernetics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Remote sensing applications - new vistas for measurement and control
Autorzy:: Zaremba, M.
Powiązania:: https://bibliotekanauki.pl/articles/384259.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: remote sensing
satellite imagery
lidar
image processing
data fusion
distributed control
modeling and simulation
Opis:: The field of remote sensing is an area of science and technology that has undergone rapid development in recent years. This paper focuses primarily on how to exploit the capabilities made available by remote sensing and how to put them to use by combining them with a sys-temic approach to design and analysis in various measurement and control applications. The emphasis is placed on high-resolution satellite and Lidar sensors – the most prevalent remote sensing technologies. Following the presentation of some general issues related to low- and high-level processing of remote sensing data, such as data dimensionality reduction, data fusion, and change detection, the paper provides examples of control-related applications of remote sensing technologies. It is argued that successful exploitation of new generations of remote sensing technologies will require extensive development of new algorithms based on a variety of approaches, such as machine vision, statistical learning, and artificial intelligence.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 3; 3-12
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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