Research on farmland parcel boundary extraction oriented to urban road network-like space using multi-temporal and multi-terrain images

doi:10.14088/j.cnki.issn0439-8114.2025.10.029

Abstract

Abstract: By exploring the intrinsic spatial distribution relationship between farmland parcel boundaries and urban road networks, the distribution of farmland parcel boundaries in different regions was analogized to the distribution of different road grades, constructing an urban road network-like space for farmland parcel boundaries.Honghu City and Tongshan County in Hubei Province were selected as study areas. Using UAV remote sensing images as data sources, color, brightness, and texture features of multi-temporal and multi-terrain images were extracted through multi-scale methods, thereby achieving accurate identification of farmland parcel boundaries.The results showed that the effectiveness of this method for farmland parcel boundary extraction varied significantly across different seasons and terrain conditions.In areas with rich image colors and regular parcels, the method could completely extract boundaries, and multi-scale parameters effectively met the requirements at different levels of detail.In scenarios such as fallow periods or hilly areas, the separability of parcel characteristics decreased due to interference from diverse surface covers like weeds, water, duckweed, and bare soil, indicating that the method still had limitations in feature-complex scenarios.

Key words: urban road network-like space, remote sensing image, multi-temporal, multi-terrain, farmland, parcel boundary extraction

CLC Number:

TP79

ZHENG Ming-xue, SHEN Xiang-cheng, LUO Zhi-qing, CHEN Ping-ting, GUAN Bo, MA Hai-rong. Research on farmland parcel boundary extraction oriented to urban road network-like space using multi-temporal and multi-terrain images[J]. HUBEI AGRICULTURAL SCIENCES, 2025, 64(10): 190-194.

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