Methodology of detection and classification of selected aviation obstacles based on UAV dense image matching

M Lalak, D Wierzbicki - IEEE Journal of Selected Topics in …, 2022 - ieeexplore.ieee.org
Currently, more and more accurate data provided by UAVs make it possible to analyze land
cover, which requires the detection of objects and their individual elements. Object detection …
被引用次数：5 相关文章

Methodology of Detection and Classification of Selected Aviation Obstacles Based on UAV Dense Image Matching

M Lalak, DP Wierzbicki - IEEE Journal of Selected Topics in …, 2022 - repo.bg.wat.edu.pl
Currently, more and more accurate data provided by UAVs make it possible to analyze land
cover, which requires the detection of objects and their individual elements. Object detection …

[引用][C] Methodology of Detection and Classification of Selected Aviation Obstacles Based on UAV Dense Image Matching

M Lalak, D Wierzbicki - IEEE Journal of Selected Topics in …, 2022 - ui.adsabs.harvard.edu
Methodology of Detection and Classification of Selected Aviation Obstacles Based on UAV
Dense Image Matching - NASA/ADS Now on home page ads icon ads Enable full ADS view …
[PDF] archive.org

[PDF][PDF] Methodology of Detection and Classification of Selected Aviation Obstacles Based on UAV Dense Image Matching

M Lalak, D Wierzbicki - scholar.archive.org
Currently, more and more accurate data provided by UAVs make it possible to analyze land
cover, which requires the detection of objects and their individual elements. Object detection …
[PDF] researchgate.net

[PDF][PDF] Methodology of Detection and Classification of Selected Aviation Obstacles Based on UAV Dense Image Matching

M Lalak, D Wierzbicki - IEEE JOURNAL OF SELECTED TOPICS …, 1869 - researchgate.net
UAVs make it possible to analyze land cover, which requires the detection of objects and
their individual elements. Object detection and determination of their geometric features is …