TY - JOUR
T1 - Semantic Segmentation of Heterogeneous Unmanned Aerial Vehicle Datasets Using Combined Segmentation Network
AU - Song, Ahram
N1 - Publisher Copyright:
Copyright © 2023 by The Korean Society of Remote Sensing.
PY - 2023
Y1 - 2023
N2 - Unmanned aerial vehicles (UAVs) can capture high-resolution imagery from a variety of viewing angles and altitudes; they are generally limited to collecting images of small scenes from larger regions. To improve the utility of UAV-appropriated datasets for use with deep learning applications, multiple datasets created from various regions under different conditions are needed. To demonstrate a powerful new method for integrating heterogeneous UAV datasets, this paper applies a combined segmentation network (CSN) to share UAVid and semantic drone dataset encoding blocks to learn their general features, whereas its decoding blocks are trained separately on each dataset. Experimental results show that our CSN improves the accuracy of specific classes (e.g., cars), which currently comprise a low ratio in both datasets. From this result, it is expected that the range of UAV dataset utilization will increase.
AB - Unmanned aerial vehicles (UAVs) can capture high-resolution imagery from a variety of viewing angles and altitudes; they are generally limited to collecting images of small scenes from larger regions. To improve the utility of UAV-appropriated datasets for use with deep learning applications, multiple datasets created from various regions under different conditions are needed. To demonstrate a powerful new method for integrating heterogeneous UAV datasets, this paper applies a combined segmentation network (CSN) to share UAVid and semantic drone dataset encoding blocks to learn their general features, whereas its decoding blocks are trained separately on each dataset. Experimental results show that our CSN improves the accuracy of specific classes (e.g., cars), which currently comprise a low ratio in both datasets. From this result, it is expected that the range of UAV dataset utilization will increase.
KW - Deep learning
KW - Semantic drone dataset
KW - Semantic segmentation
KW - UAVid
UR - http://www.scopus.com/inward/record.url?scp=85167990062&partnerID=8YFLogxK
U2 - 10.7780/kjrs.2023.39.1.6
DO - 10.7780/kjrs.2023.39.1.6
M3 - Article
AN - SCOPUS:85167990062
SN - 1225-6161
VL - 39
SP - 87
EP - 97
JO - Korean Journal of Remote Sensing
JF - Korean Journal of Remote Sensing
IS - 1
ER -