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The use of new, high-resolution spectral sensors, in contrast with low-resolution, increases both the amount of information acquired about land cover at local scales, and the geometric detailand accur...
This paper discusses three main methods of change detection: 1) image subtraction method; 2) image ratio method; 3) the method of change detection after classification. Firstly, the elimination method...
The Grand Canal of China is the longest ancient canal in the world. In terms of improving communications between the north and south, promoting economic and cultural exchanges and strengthening the un...
Remote sensing change detection technique has been an important method to observe the land use change. At present, there are lots of algorithms of land use change detection, but there isn’tan existing...
The unsupervised change detection of multitemporal SAR usually can get different results through different threshold selection algorithms. It is hard to determine what kinds of results are the best. I...
Synthetic aperture radar (SAR) image change detection is a very complex problem like SAR imaging mechanism. Every change detection method has its advantage and disadvantage, and there are no optimal c...
The methods of Automatic land use and land cover change detection based on remote sensing image has been widely applied in research for LUCC (Land Use and Cover Change), nature resource management and...
This paper presents a new approach to extract urban landuse/land-cover information from high-resolution radar satellite data. Five-date RADARSAT fine-beam SAR images over the rural-urban fringe of the...
The main aim of the study was to assess the potential of a time series of remotely sensed data for the change detection of wetland in Hongze Lake in the Northern Jiangsu Province. The raw data compris...
In order to overcome the insufficiency of single remote sensing data source during information extraction, to make use of the complementary characteristics of SAR data and optical imagery, and to faci...
Glaciers are important components of Earth鈥檚 natural system and of human environment, and are therefore obvious targets for mapping and monitoring. They serve as sensitive indicators of climate change...
The seasonal analysis of vegetation can be considered as looking for fundamental redundant information and detecting, at the same time, the natural changes of the vegetative cover undergone by the obs...
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)...
Natural resources management and environment follow up (mapping of cropland, delimitation of areas which are sensitive to desertification, fight of poverty, etc.) need appropriate decisions to be made...
In machine learning, the preprocessing of the observations and the resulting features are one of the most important factors for the performance of the final system. In this paper, a robust approach to...

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