Most common Satellite Image Processing Techniques

Learn Preprocessing Methods.

Abdishakur
Spatial Data Science

--

Image — Canva

Remote sensed data might contain noise and other deficiencies derived from the sensors onboard or radiative transfer processes. Therefore, we often conduct further preprocessing techniques to deal with such flaws. These different processing techniques are generally referred to as Image Processing.

Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image — Digital Image Processing.

There are several Image processing techniques used in Earth observation, and we tend to categorize them into four broad categories: Preprocessing, transformation, correction, and classification. This article will touch on some of the most commonly used pre-processing techniques for satellite images.

Pre-Processing Techniques

Some distortions need to be corrected before carrying out analysis and post-processing techniques. The image preparation and processing operations carried out before analysis to correct or minimize image distortions from, i.e., imaging systems, sensors, and observing…

--

--

Abdishakur
Spatial Data Science

Writing about Geospatial Data Science, AI, ML, DL, Python, SQL, GIS | Top writer | 1m views.