Satellite Image Processing is an important field in research and development and consists of the images of earth and satellites taken by the means of artificial satellites. Firstly, the photographs are taken in digital form and later are processed by the computers to extract the information. Statistical methods are applied to the digital images and after processing the various discrete surfaces are identified by analyzing the pixel values.

The satellite imagery is widely used to plan the infrastructures or to monitor the environmental conditions or to detect the responses of upcoming disasters. [1]

Figure 1. Overview of Satellite Image Processing

Figure 1 shows Satellite Imaging Corporation (SIC) provides high-resolution satellite imagery and image processing services for analysis and to support Geographic Information System (GIS) and other mapping applications.

SIC specializes in satellite imaging collections, producing seamless orthorectified imaging mosaics, DEMs (Digital Elevation Models), and 3D Digital Terrain Models (DTMs) for many industries using CAD and GIS applications utilizing high and medium resolution mono and stereo satellite image data. [2]

Applications of Satellite Imagery & Remote Sensing Data

Remote sensing data provides critical information that helps in monitoring various applications like image fusion, change detection and land cover classification. Remote sensing is a key technique used to obtain information related to the earth’s resources and environment. The availability of satellite images of high resolution satellite images along with features like “Street View” on various mapping applications like Google Earth and Bing Maps have really helped to popularize satellite imagery data.

Remotely sensed satellite images and data include spectral, spatial and temporal resolutions. Spectral resolution describes the ability of a sensor to define fine wavelength intervals and it involves elements of remotely sensed image classification. [3]

1. Providing a base map for graphical reference and assisting planners and engineers

The amount of details that an orthoimagery produces using high resolution satellite imagery is of immense value as it provides a detail image of the selected area along with its surrounding areas.

As maps are location-based they are specifically designed to communicate highly structured data and to give a complete picture about the whole world. There are numerous applications of satellite imagery and remote sensing data.

2. Disaster mitigation planning and recovery

The result of a natural calamity can be devastating and at times difficult to assess. But disaster risk assessment is necessary for rescue workers. This information has to be prepared and executed quickly and with accuracy. Object-based image classification using change detection (pre- and post-event) is a quick way to acquire damage assessments data. [4]

References:

1. https://www.geeksforgeeks.org/satellite-image-processing/
2. https://www.satimagingcorp.com/services/
3. https://www.aabsys.com/satellite-image-processing-applications-possibilities/
4. https://www.ceinsys.com/blog/applications-of-satellite-imagery-remote-sensing-data/

Cite this article:

Thanusri swetha J (2021), Overview of Satellite Image Processing, Anatechmaz, pp. 76