Investigation of Non-natural Information from Remote Sensing Images: A Case Study Approach
| Autor: | Nitin S. Choubey, U. Ragavendran, Nadeem Akhtar |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010504 meteorology & atmospheric sciences
Computer science Multispectral image 0211 other engineering and technologies Ranging 02 engineering and technology 01 natural sciences Natural (archaeology) law.invention Panchromatic film law Remote sensing (archaeology) Information system Noise (video) Radar 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Computational Intelligence and Sustainable Systems ISBN: 9783030026738 |
| DOI: | 10.1007/978-3-030-02674-5_12 |
| Popis: | The frequent changes in natural and non-natural information on the earth can be imaged using remote sensing (RS) techniques. Non-natural information changes are more frequent than natural changes on the planet; thus, they have a drastic impact on geographical information systems (GIS). Revolutions in satellite imaging technology have improved the interpretation of non-natural information (e.g., roads, buildings, bridges, dams) for GIS updates in a shorter period of time compared with ground surveying. The interpretation of road information is particularly vital for navigation. High-resolution RS images provide a good interpretation of road information; however, different interferences (e.g., building rooftops, parking lots, shadows from buildings, trees, vehicles) appear as noise, which reduces the efficiency of the extraction. In this chapter, different types of RS images are investigated, including panchromatic, aerial, multispectral, synthetic-aperture radar, and light detection and ranging. |
| Databáze: | OpenAIRE |
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