| Autor: |
Gottumukkala, Prasanthi, Bethel, G. N. Beena, Giduturi, Srinivasa Rao, Nalla, Sridhar Babu |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2754 Issue 1, p1-7, 7p |
| Abstrakt: |
The satellite image classification method includes the image pixel values' grouping within the substantial groups. Different procedures and approaches have existed for satellite image classification. Three different kinds of the satellite image classification methods such as manual, automatic, and hybrid which involve their own benefits and drawbacks. The satellite image classification methods categorized within the first group. By relying on the necessities, the suitable classification technique is required to choose for satellite image classification. In this paper, we focus on investigating the procedures for satellite image classification techniques. Additionally, the numerous investigations on the satellite image classification methods have compared. To assess the remote sensing measurements, a plain graphical indicator is developed out of a space platform. It evaluates the objective detected using live green vegetation refers to the normalized different vegetation index (NDVI). A new technique of NDVI image classification is proposed based on CNN that shows high performance than the existing algorithms. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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