Segmentacja nieużytków porolnych na obrazach satelity TERRA/ASTER przy wykorzystaniu analizy kanonicznej

• Autorzy: Faryś M.

Warianty tytułu

EN

Segmentation of abandoned fields from TERRA/ASTER images using canonical analysis

• Języki publikacji: PL

Abstrakty

EN

In 2002, total area of abandoned fields and fallow fields in Poland amounted to ca 14% of the total area of arable fields. Economic reasons, the application of direct subsidies in agriculture, make it necessary to develop new, fast and accurate methods of identification of areas of abandoned and fallow fields. The use of the remote sensing method may bring desired effects. The aim of this paper is to test the suitability of using the canonical analysis, on the basis of information included in the channels of the TERRA/ASTER satellite in order to segment areas of abandoned fields from the contents of satellite images. The canonical analysis, in the form of decomposition of main constituents, may bring goud results as a tool to separate single class spectral objects. The results of the canonical analysis were used as output data to analyze clusters in order to create a bitmap. The ISODATA algorithm was used to classify images. The obtained classes were connected so as to create a binary image where the value of one refers to the location of a spectral object, while the value of zero refers to the remaining kontent of the image. TNTMips software was used for the digital processing of images.

Słowa kluczowe

PL

teledetekcja; analiza kanoniczna; obrazy satelitarne; segmentacja

EN

remote sensing; canonical analysis; satellite images; segmentation

• Wydawca: Polskie Towarzystwo Informacji Przestrzennej
• Czasopismo: Roczniki Geomatyki
• Rocznik: 2005
• Tom: T. 3, z. 4
• Strony: 63--68
• Opis fizyczny: Bibliogr. 6 poz.

Twórcy

autor

Faryś M.

• Zakład Gleboznawstwa i teledetekcji Gleb, Instytut Geografii Fizycznej i Kształtowania Środowiska Przyrodniczego, Uniwersytet im. A. Mickiewicza,

Bibliografia

• 1. Lira, J. Maletti, G., 2002a: A supervised contextual classifier based on a region-growth algorithm. Computers & Geosciences, 28, str. 951-959.
• 2. Lira, J., 2002: Introducción al tratamiento digital de imágenes. Instituto Politécnico Nacional, UNAM, Fono de Cultura Económica, México, DF.
• 3. Lira, J., Frulla, L., 1998: An Automated Region Gowing Algoithm for Segmentation of Texture Regions in SAR Images. International Journal of Remote Sensing, vol. 19, str. 3595-3606.
• 4. Richards, J.A., Jia, X., 1999: Remote Sensing Digital Analysis, Springer-Verlag, Berlin.
• 5. Ważniejsze dane o podregionach, powiatach i gminach województwa poznańskiego, 2003 GUS, Warszawa.
• 6. Weeks, A., 1996:Fundamentals of Electronic Image Processing, Wiley-IEEE Press.