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In optical remote sensing, spatial resolution of images is crucial for numerous applications. Space-borne systems are most likely to be affected by a lack of spatial resolution, due to their natural d...
Nowadays deep learning has been intensively in spotlight owing to its great victories at major competitions, which undeservedly pushed ‘shallow’ machine learning methods, relatively naive/handy algori...
Inclined topographies are one of the most challenging problems for geospatial analysis of air-borne and space-borne imageries. However, flat areas are mostly misleading to exhibit the real performance...
With the rapid development of sensor networks and earth observation technology, a large quantity of high resolution remote sensing data is available. However, the influence of shadow has become increa...
Aim to striping noise brought by non-uniform response of remote sensing TDI CCD, a novel de-striping method based on statistical features of image histogram is put forward. By analysing the distributi...
Geographic information systems (GIS) are dependent on accurate and up-to-date data sets. The manual revision of GIS data is very cost and time consuming. On the other hand more and more high resolutio...
In this study, the problem of environmental monitoring and land-use/land-cover changes over the lignite open-cast mine and power plant area, was investigated. For this purpose the LANDSAT TM and SPOT ...
In this study, 12 June 1984 and 18 July 1997 dated, 180/31 orbit/frame numbered LANDSAT 5 TM satellite data of this region were used. To supply the demand for current and accurate data for forest area...
Topographical effect was considered in the context of bare soil moisture assessment. Soil moisture was evaluated using thermal inertia modelling. As an input data in thermal inertia model, the images ...
Due to the increasing number of digital remote sensing data taken by aeroplane and satellite which are used for the updating of maps and the environmental or agricultural monitoring, there is a need t...
The mission planning problem of remote sensing satellites for emergency missions is investigated. A dynamic mission planning technology is introduced to solve the problem. For generating the newplan a...
2DPCA is introduced in remote sensing image fusion, and three forms of 2DPCA-based remote sensing image fusion method are proposed according to the different evaluation methods of the projectionvector...
The utilization of remote sensing satellite data for fire monitoring has been more than a decade, and currently mainly relies on the EOS/ MODIS satellite series. MODIS has specialized thermal infrared...
Along with the rapid development of remote sensing technology, remote sensing images have been used in more and more fields. How to retrieval the images rapidly and effectively from the giganticdataba...
Image segmentation is one of the most important methods for extracting information of interest from remote sensing image data, but it still remains some problems, leading to low quality segmentation. ...

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