Structural and technological complex of methods for processing satellite images

Published 2021-01-01 From Embry-Riddle Aeronautical University 2 authors

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Attribution

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Abstract

Verbatim from Embry-Riddle Scholarly Commons. Not paraphrased, not summarized.

Decoding satellite images involves hundreds of automated methods. These methods are included in the modules of many well-known software tools for processing satellite images. To solve specific problems of identifying individual natural or man-made objects, there is a problem of choosing a method and means of data processing. The choice of methods depends on the scope of their application, different data are selected, for example, high-and low-resolution images, corresponding cartographic or other types of data. To solve this problem, a structural and technological complex processing method is proposed. Since the initial processing of images is followed by thematic processing by industry, let's consider this method using the example of recognition of geological objects.

Authors

Shamsiev, Rasul Zairovich Embry-Riddle Aeronautical University
Shamsiev, Zair Ziyaevich Embry-Riddle Aeronautical University

Keywords

satellite images
software
selection
Landsat 7 TM
PCA
indexes
algorithm
complex functional
University Extension

Citation: Shamsiev, Rasul Zairovich, Shamsiev, Zair Ziyaevich (2021). Structural and technological complex of methods for processing satellite images. Embry-Riddle Aeronautical University. Embry-Riddle Scholarly Commons ID oai:commons.erau.edu:ijaaa-1583. https://commons.erau.edu/ijaaa/vol8/iss2/7 ↗