TSANet: A deep learning framework for the delineation of agricultural fields utilizing satellite image time series

Shuai Yan, Xiaochuang Yao, Jialin Sun, Weiming Huang, Longshan Yang, Chao Zhang, Bingbo Gao, Jianyu Yang, Wenju Yun, Dehai Zhu

Abstract: Highlights•We proposed a delineating field parcel model (TSANet) based on satellite image time series.•TSANet learn the relevance of spatial-spectral-temporal feature representation.•TSANet is robust across space and time.•TSANet performs better than pervious methods.•The time series data from the main growing period has a greater impact.