TY - JOUR
TI - Extraction of sunflower heads in Xinjie mining area based on UAV visible light images
AU - Zhao Yong-Qiang
AU - Li Xiao-Bin
AU - Wang Xiao-Long
AU - Lei Da
AU - Zhang Jian
AU - Bai Bing
JN - Thermal Science
PY - 2025
VL - 29
IS - 2
SP - 1443
EP - 1448
PT - Article
AB - Coal resources play a crucial role in societal development. However,  intensive coal mining frequently leads to environmental degradation.  Monitoring surface crop growth in mining areas is essential for ecological  assessments and a critical component of evaluating mining disturbances. In  this study, sunflowers growing on the first mining face of the Xinjie Mine  were selected to explore an efficient crop extraction method. Visible-band  imagery was captured using a UAV, and the spectral characteristics of the  sunflowers were analyzed. A red-blue difference index was developed, and  the histogram threshold segmentation was employed for sunflower extraction.  Four supervised classification methods containing maximum likelihood,  minimum distance, support vector machine, and random forest method were  compared to evaluate the performance of each extraction technique.