GEOREF: a Software for Improving the Use of Remote Sensing Images in Environmental Applications
2002
- 150Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage150
- Downloads127
- Abstract Views23
Artifact Description
Analysis of temporal sequences of satellite images is of great importance in the monitoring ofenvironmental phenomena, where both multi-temporal and multi-spectral images are widely used. The firstproblem to deal with such a kind of imagery is their geo-referencing, i.e. computing a transformation to ageodetic or cartographic datum. This task is usually performed by manually measuring control points, whoseground coordinates are read on existing maps or measured by GPS. In this paper we propose a software(GEOREF) to increase the automation of this procedure, which is very heavy for the operators in the RemoteSensing field. Considering a multi-temporal sequence of satellite images, instead of geo-referencing all theimages by interactive measurement of ground control points, you have to manually register only one image ofthe sequence to the geodetic datum. Then control points can be automatically extracted in the other images,which can be registered to the first one and thus to the ground. The paper would like to give an overview ofthe algorithms involved in the proposed procedure and its implementation. Furthermore some applications ofGEOREF to register Landsat TM and ETM+ images are presented.
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