Aerospace Image Processing

**3**

**Chapter 1**

*Rustam B. Rustamov*

**1.1 Classification of space images**

the aerospace image classification.

• Extract information for an application

• Visual and digital image interpretation

• Integration spatial data into field survey

**1. Introduction**

three categories:

• Automatic

• Manual

• Hybrid

• Spatial data

• Field survey

• Thematic map creation

• Decision-making

Introductory Chapter: Aerospace

Classification of the aerospace image is the process of creating an environment systemizing the image pixel values into meaningful segments of the Earth features. There are a number of methods and facilities for classification of aerospace images. Aerospace image classification methods can be formed into

The methods indicated above can be used independently depending on task and available technological maintenance. There is no doubt that each of the methods has advantages and disadvantages. In general, automatic image classification method is

It is obvious that aerospace image classification takes a vital place from the first stage of line of image processing up to producing final electronic or hard production. **Figure 1** demonstrates a flowchart of the processes as the required actions in

Based on the above approach, we can describe standard approach as:

the most preferable one used in spatial data classification [1].

Information Classification

## **Chapter 1**
