About: Ridge is a research topic. Over the lifetime, 6073 publications have been published within this topic receiving 181057 citations. The topic is also known as: ledge & mountain ridge.
TL;DR: A mechanism is presented for automatic selection of scale levels when detecting one-dimensional features, such as edges and ridges, and a novel concept of a scale-space edge is introduced.
Abstract: When extracting features from image data, the type of information that can be extracted may be strongly dependent on the scales at which the feature detectors are applied. This article presents a systematic methodology for addressing this problem. A mechanism is presented for automatic selection of scale levels when detecting one-dimensional features, such as edges and ridges. A novel concept of a scale-space edge is introduced, defined as a connected set of points in scale-space at which: (i) the gradient magnitude assumes a local maximum in the gradient direction, and (ii) a normalized measure of the strength of the edge response is locally maximal over scales. An important property of this definition is that it allows the scale levels to vary along the edge. Two specific measures of edge strength are analysed in detail. It is shown that by expressing these in terms of /spl gamma/-normalized derivatives, an immediate consequence of this definition is that fine scales are selected for sharp edges (so as to reduce the shape distortions due to scale-space smoothing), whereas coarse scales are selected for diffuse edges, such that an edge model constitutes a valid abstraction of the intensity profile across the edge. With slight modifications, this idea can be used for formulating a ridge detector with automatic scale selection, having the characteristic property that the selected scales on a scale-space ridge instead reflect the width of the ridge.
TL;DR: The mixing equation applied by Vollmer [1] to Pb and Sr isotope ratios is shown to be a general equation applicable to consideration of element and isotope ratio.
TL;DR: An ultraslow-spreading class of ocean ridge that is characterized by intermittent volcanism and a lack of transform faults is revealed, and it is found that the mantle beneath such ridges is emplaced continuously to the seafloor over large regions.
Abstract: New investigations of the Southwest Indian and Arctic ridges reveal an ultraslow-spreading class of ocean ridge that is characterized by intermittent volcanism and a lack of transform faults. We find that the mantle beneath such ridges is emplaced continuously to the seafloor over large regions. The differences between ultraslow- and slow-spreading ridges are as great as those between slow- and fast-spreading ridges. The ultraslow-spreading ridges usually form at full spreading rates less than about 12 mm yr-1, though their characteristics are commonly found at rates up to approximately 20 mm yr-1. The ultraslow-spreading ridges consist of linked magmatic and amagmatic accretionary ridge segments. The amagmatic segments are a previously unrecognized class of accretionary plate boundary structure and can assume any orientation, with angles relative to the spreading direction ranging from orthogonal to acute. These amagmatic segments sometimes coexist with magmatic ridge segments for millions of years to form stable plate boundaries, or may displace or be displaced by transforms and magmatic ridge segments as spreading rate, mantle thermal structure and ridge geometry change.
TL;DR: In this paper, the authors reviewed the state of knowledge on the exchanges especially across the eastern part of the Greenland-Scotland Ridge, based on results from the ICES NANSEN (North Atlantic-Norwegian Sea Exchanges) project, from the Nordic WOCE project and from other sources.
TL;DR: In this paper, samples collected by the deep submersible Alvin from four hot spring fields (T = 3 − 13°C) on the crest of the Galapagos spreading ridge show pronounced and varied compositional anomalies.