Topologically Consistent Agricultural Parcel Vectorization with Semantic-Guided Diffusion and Topology-Aware Polygonization

📅 2026-09-07
📈 Citations: 0
Influential: 0
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🤖 AI Summary
为解决农业地块矢量化中的拓扑冲突问题,提出了一种语义引导扩散框架,通过边缘-顶点联合潜扩散生成几何规则的地块边界和顶点,并采用拓扑感知的多边形重建方法以共享边界重构地块。
📝 Abstract
Agricultural parcel polygons play a fundamental role in geospatial applications such as precision agriculture, land administration, and crop monitoring. Beyond regular polygon geometry and low vertex redundancy, practical parcel maps should avoid topological conflicts and preserve common boundaries between adjacent fields. Yet this requirement remains largely unresolved: segmentation-based methods mainly produce parcel masks or raster boundary cues and rely on heuristic raster-to-vector conversion, instance- and contour-based methods reconstruct parcels independently, and recent vector-oriented methods improve polygon regularity but do not explicitly recover adjacent parcels from a shared topological structure. To address this gap, we propose a semantic-guided diffusion framework for topologically consistent agricultural parcel vectorization. It couples joint edge--vertex latent diffusion with supervised multi-cue conditioning to generate geometrically regularised parcel-boundary and vertex primitives while suppressing false-positive responses. A topology-aware parcel polygon reconstruction method then converts these primitives into regular polygons by reconstructing parcel faces from a common planar graph, enabling adjacent predicted parcels to reuse shared boundaries and avoid mutual interior intrusion. Extensive experiments on the AI4SmallFarms and iFLYTEK datasets evaluate parcel vectorization in terms of pixel-level coverage, geometric fidelity, object-level correctness, and topological consistency. The results show strong and competitive performance, with zero measured intrusion ratio and the highest shared-edge recall, demonstrating the potential of the proposed framework for accurate, regular, and topologically consistent agricultural parcel vectorization.
Problem

Research questions and friction points this paper is trying to address.

topological consistency
agricultural parcel vectorization
shared boundaries
polygon regularity
topological conflicts
Innovation

Methods, ideas, or system contributions that make the work stand out.

semantic-guided diffusion
topology-aware polygonization
topologically consistent vectorization
shared boundaries
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Weiqin Jiao
Department of Earth Observation Science, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, 7522 NH, The Netherlands
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Xiaolong Zuo
Department of Earth Observation Science, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, 7522 NH, The Netherlands; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430072, China
Claudio Persello
Claudio Persello
University of Twente, Faculty ITC
Remote SensingMachine LearningImage Classification