TY - GEN
T1 - Feature extraction technique for synthetic aperture radar (SAR) sea ice imagery
AU - Soh, Leen Kiat
AU - Tsatsoulis, Costas
PY - 1993
Y1 - 1993
N2 - In this paper we present a feature extraction technique that extracts ice floes for Synthetic Aperture Radar (SAR) sea ice imagery. We investigate two types of ice floes: 1) independent ice floes that collide and meet, and 2) component ice floes that melt and consolidate to form an independent ice floe. To detect independent ice floes, we consider two kinds of edges: 1) clear edges, and 2) blurred edges. We use a spatial enhancement technique combined with thresholding to obtain the clear edges. To detect the blurred edges, we make use of `corners' which are pixels where a considerable change in direction of a floe boundary occurs. To connect the corners appropriately, we incorporate both their geometric and semantic properties into heuristics that choose which pair of corners to connect. To investigate component ice floes, we have developed a technique that combines thresholding, correlation, morphological cleaning, and structural growing. Our technique has been tested successfully on a large number of SAR images, including data from ERS-1.
AB - In this paper we present a feature extraction technique that extracts ice floes for Synthetic Aperture Radar (SAR) sea ice imagery. We investigate two types of ice floes: 1) independent ice floes that collide and meet, and 2) component ice floes that melt and consolidate to form an independent ice floe. To detect independent ice floes, we consider two kinds of edges: 1) clear edges, and 2) blurred edges. We use a spatial enhancement technique combined with thresholding to obtain the clear edges. To detect the blurred edges, we make use of `corners' which are pixels where a considerable change in direction of a floe boundary occurs. To connect the corners appropriately, we incorporate both their geometric and semantic properties into heuristics that choose which pair of corners to connect. To investigate component ice floes, we have developed a technique that combines thresholding, correlation, morphological cleaning, and structural growing. Our technique has been tested successfully on a large number of SAR images, including data from ERS-1.
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M3 - Conference contribution
AN - SCOPUS:0027801868
SN - 0780312406
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 632
EP - 634
BT - Better Understanding of Earth Environment
A2 - Fujimura, Sadao
PB - Publ by IEEE
T2 - Proceedings of the 13th Annual International Geoscience and Remote Sensing Symposium
Y2 - 18 August 1993 through 21 August 1993
ER -