Spatiotemporal Fusion in Remote Sensing
| Autor: | Rongjun Qin, Hessah Albanwan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
010504 meteorology & atmospheric sciences
Computer science Remote sensing application InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL 0211 other engineering and technologies 02 engineering and technology Terabyte computer.software_genre Sensor fusion 01 natural sciences Information extraction Remote sensing (archaeology) Data quality Key (cryptography) Satellite computer GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Recent Advances in Image Restoration with Applications to Real World Problems |
| Popis: | Remote sensing images and techniques are powerful tools to investigate earth’s surface. Data quality is the key to enhance remote sensing applications and obtaining clear and noise-free set of data is very difficult in most situations due to the varying acquisition (e.g., atmosphere and season), sensor and platform (e.g., satellite angles and sensor characteristics) conditions. With the increasing development of satellites, nowadays Terabytes of remote sensing images can be acquired every day. Therefore, information and data fusion can be particularly important in the remote sensing community. The fusion integrates data from various sources acquired asynchronously for information extraction, analysis, and quality improvement. In this chapter, we aim to discuss the theory of spatiotemporal fusion by investigating previous works, in addition to describing the basic concepts and some of its applications by summarizing our prior and ongoing works. |
| Databáze: | OpenAIRE |
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