Edge Detection in UAV Remote Sensing Images Using the Method Integrating Zernike Moments with Clustering Algorithms
Due to the unmanned aerial vehicle remote sensing images (UAVRSI) within rich texture details of ground objects and obvious phenomenon, the same objects with different spectra, it is difficult to effectively acquire the edge information using traditional edge detection operator. To solve this proble...
Saved in:
| Main Authors: | Liang Huang, Xueqin Yu, Xiaoqing Zuo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
|
| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2017/1793212 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Galaxy Morphological Classification with Zernike Moments and Machine Learning Approaches
by: Hamed Ghaderi, et al.
Published: (2025-01-01) -
A Comparative Analysis of the Zernike Moments for Single Object Retrieval
by: Abu Bakar et al.
Published: (2019-06-01) -
Zernike Moments Description of Solar and Astronomical Features: Python Code
by: Hossein Safari, et al.
Published: (2023-11-01) -
Improving Human’s Finger Knuckle Identification using High Order Zernike Moments
by: Mehran Emadi, et al.
Published: (2024-02-01) -
American Sign Language Recognition Model Using Complex Zernike Moments and Complex-Valued Deep Neural Networks
by: Selda Bayrak, et al.
Published: (2024-01-01)