## Abstract This study demonstrates the feasibility of feature extraction and similarity measurement for the identification of starch grains, which are often found in microscopic images of Chinese Materia Medica (CMM) and as such is an important feature for use in the authentication of CMM with abu
Computer-based identification and tracking of Antarctic icebergs in SAR images
โ Scribed by Tiago A.M. Silva; Grant R. Bigg
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 554 KB
- Volume
- 94
- Category
- Article
- ISSN
- 0034-4257
No coin nor oath required. For personal study only.
โฆ Synopsis
Icebergs play an important role in climate through the transfer of fresh water and heat between ice sheets and the oceans. Synthetic aperture radar (SAR) images offer a robust way of observing icebergs in the often dark and cloud-covered polar areas. A computer-based technique is proposed to identify icebergs at higher resolution than in the past, allowing the shape of small to medium icebergs to be retained and used for tracking between images acquired at different times. The identification consists of (i) automatic segmentation, followed by (ii) classification of these objects as icebergs or nonicebergs. The classification stage requires user intervention as the icebergs are not always a separable class from other objects, most notably sea ice. The icebergs are then matched between images using their size and shape similarities, and their position tracked. The system performance was assessed by applying the technique to three wintertime ERS-1 PRI images, around Kapp Norvegia (108W), on the Eastern Weddell Sea coast. The results show both the identification and the tracking to be effective.
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