Cloud Computing Tutorial

Cloud Application: Satellite Image Processing

Satellite Image Processing: In this tutorial, we will learn about the cloud application satellite image processing and types of resolutions. By IncludeHelp Last updated : June 02, 2023

What is Satellite Image Processing?

Satellite image processing is commonly used in engineering to design the infrastructures or to track the environmental conditions or to detect the responses of an imminent disaster. The variety of datasets of advanced positioning techniques nowadays would have more variety. To extract the knowledge of such datasets, the remote sensing scientist needs to be themselves equipped with a better and more efficient computer and storage. Cloud computing is a good idea because it offers all the requisite computing resources (compute power). Possibly the most cost-effective way to access computers as a service accessible online, to see which current cloud platform shall be suitable for the complex analysis of remote sensing (RS) data, we present here a comparative study between two popular cloud platforms, Amazon and Microsoft, and the newest rival Cloud Sigma.

Resolutions Associated with Satellite Imagery

There are four kinds of resolutions loaded on satellite imagery that need to be considered among others to decode. These are:

1) Spatial Resolution

In terms of pixels, spatial resolution is a concept used to define the number of pixels used in the creation of a digital image. A picture or image that has more pixels dedicated to making it look transparent is much more detailed than one that has fewer pixels.

2) Spectral Resolution

Thus, the resolution is a measurement of the beam internal size and specifies the number of intervals of information that the sensor detects.

3) Temporal Resolution

The definition of temporal resolution is also important to remember in a remote sensing system, in addition to spatial, spectral, and radiometric resolution. Revisit duration, which corresponds to the amount of time it takes for a satellite to complete an entire cycle of orbit. Revisit duration for a satellite sensor is usually several days to a few weeks. Therefore, providing a remote sensing device with the capability to picture the same position on the same site, at the same angle at the same time is equal to this duration. (i.e. 1 second). As the viewing area of Earth is extended, it is expanded in an area of overlap or equivalence to the degree that a parallel image of Earth's surface is obtained in a wider viewing arena, and changes in this field of overlap or equivalence decrease in latitude. In addition to being able to view themselves, satellites may also point their sensors to image the same region between different satellite passes separated by periods from one to five days, which is another potential way to achieve global surveillance. But in addition to that, the temporal resolution of a sensor depends on a range of items.

4) Highest Scientific Resolution

Describing the radiometric characteristics of an image means that the arrangement of pixels is merely a dress code; the actual information quality of the image is what is significant. If you take an image, the amount of light reflected by the image is measured and the radiometric resolution (i.e. the smallest distance between two distinct points in the image) is determined by that measurement. The radiometric resolution of an imaging device explains its ability to discriminate very subtle variations in energy the finer the radiometric resolution of a sensor the more sensitive it is to detecting tiny differences in reflected or emitted energy.

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