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A new method was proposed for instantaneous waterline extraction in this paper, which combines point cloud geometry features and image spectral characteristics of the coastal zone. The proposed method...
The automatic extraction of man-made objects from remote sensing imagery is useful in many applications. This paper proposes an algorithm for extracting man-made objects automatically by integrating a...
Shanghai, the axis of economic development in China and holding the most prosperous metropolis in the world, is located at Yangtze Estuary which is susceptible to shoreline changes affected by differe...
Assessing vulnerability and potential impacts associated with extreme discharges requires an accurate topographic description in order to estimate the extension of flooded areas. However, in most popu...
Model based analysis or explicit definition/listing of all models/assumptions used in the derivation of a pan-sharpening method allows us to understand the rationale or properties of existing methods ...
Harbours are very important objects in civil and military fields. To detect them from high resolution remote sensing imagery is important in various fields and also a challenging task. Traditional met...
Topic modeling has been an increasingly mature method to bridge the semantic gap between the low-level features and high-level semantic information. However, with more and more high spatial resolution...
A new object-level change detection(OLCD) approach, combining object analysis with change detection process is proposed for land surface monitoring. The object analysis is consisting of Mean Shift(MS)...
For the past few years, the dynamic monitoring technique for land use based on high resolution remote sensing imagery is at the stage of key techniques research and system development in China. The pa...
The principal technical problem of 3D building semi-automatic acquisition from remote-sensing images was discussed by using wavelet analysis, combining digital photogrammetry and computer vision. A se...
Flooding is one of the most destructive natural hazards, accounting for over a third of all disaster damage worldwide. In particular in less developed countries (LDCs) this is typically attributed to...
The California Seismic Hazards Mapping Act of 1990 directs the California Geological Survey (CGS) to delineate seismic hazard zones of required investigation for earthquake-induced ground failures - ...
In general only a small part of spatial data in SDI change because of different factors, so rapid and effective updating methods are very vital. With the improvement of spatial resolution of satellit...
This paper proposes a new approach to image matching by epipolar constraint and local reliability constraint for Remote Sensing Image. We define a new measure of matching support according to the loc...
This paper presents a methodology for simulating urban growth phenomenon through utilizing remote sensing imagery and neural network (NN) algorithms. Historical satellite images of Indianapolis city, ...

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