Remote Sensing Task

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A Remote Sensing Task is a Imaging Processing Task that analyzes data acquired remotely by a sensor to obtain information about an object, location or phenoma.



References

2019

  • (Wikipedia, 2019) ⇒ https://en.wikipedia.org/wiki/Remote_sensing Retrieved:2019-10-18.
    • Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to on-site observation, especially the Earth. Remote sensing is used in numerous fields, including geography, land surveying and most Earth science disciplines (for example, hydrology, ecology, meteorology, oceanography, glaciology, geology); it also has military, intelligence, commercial, economic, planning, and humanitarian applications.

      In current usage, the term "remote sensing" generally refers to the use of satellite- or aircraft-based sensor technologies to detect and classify objects on Earth, including on the surface and in the atmosphere and oceans, based on propagated signals (e.g. electromagnetic radiation). It may be split into "active" remote sensing (such as when a signal is emitted by a satellite or aircraft and its reflection by the object is detected by the sensor) and "passive" remote sensing (such as when the reflection of sunlight is detected by the sensor)[1][2][3] [4][5].

  1. Ran, Lingyan; Zhang, Yanning; Wei, Wei; Zhang, Qilin (23 October 2017). "A Hyperspectral Image Classification Framework with Spatial Pixel Pair Features". Sensors. 17 (10): 2421. doi:10.3390/s17102421. PMC 5677443. PMID 29065535.
  2. Schowengerdt, Robert A. (2007). "Remote sensing: models and methods for image processing (3rd ed.). Academic Press. p. 2. ISBN 978-0-12-369407-2.
  3. Schott, John Robert (2007). Remote sensing: the image chain approach (2nd ed.). Oxford University Press. p. 1. ISBN 978-0-19-517817-3.
  4. Guo, Huadong; Huang, Qingni; Li, Xinwu; Sun, Zhongchang; Zhang, Ying (2013). "Spatiotemporal analysis of urban environment based on the vegetation–impervious surface–soil model" (PDF). Journal of Applied Remote Sensing. 8: 084597. Bibcode:2014JARS....8.4597G. doi:10.1117/1.JRS.8.084597.
  5. Liu, Jian Guo & Mason, Philippa J. (2009). Essential Image Processing for GIS and Remote Sensing. Wiley-Blackwell. p. 4. ISBN 978-0-470-51032-2.

2015

2009