Articolo in rivista, 2017, ENG, 10.1016/j.matcom.2016.09.005

Enhancing and segmenting a remote sensing image of a glacier body

L. Lenarduzzi and M.Pepe

IMATI, CNR, Consiglio Nazionale delle Ricerche, via Bassini, 15 20133 Milano, Italy; IREA, CNR, Consiglio Nazionale delle Ricerche, via Bassini, 15 20133 Milano, Italy

Glaciers' changes are an important indicator of global warming, and the interpretation of satellite images offers a good source of information for such a monitoring. It is important to select areas of interest for the detection of glaciers bodies and in particular to capture also the part covered with debris, which is an open issue in remote sensing of the glaciers. We use enhancing features with a physical meaning and we provide a coarse segmentation of the image of the Lys glacier belonging to the Monte Rosa district in the Alps. The image data correspond to electromagnetic sensing of sunlight as reflected in band of the visible red spectral range, TM3TM3, and in two infrared bands TM4TM4 and TM5TM5, as operated from the thematic mapper (TM) sensor aboard the Landsat satellite in clear sunny days.

Mathematics and computers in simulation (Print) 137 , pp. 411–423

Keywords

Glacier body, Thematic Mapper sensor, Unsupervised segmentation, Binary tree

CNR authors

Pepe Monica Piera Livia, Lenarduzzi Licia

CNR institutes

IMATI – Istituto di matematica applicata e tecnologie informatiche "Enrico Magenes", IREA – Istituto per il rilevamento elettromagnetico dell'ambiente