基于卷積神經網絡提出了一種適用于大量傳統村落現狀圖自動識別歸類的方法。該方法利用自建的一個樣本分布均衡的傳統村落數據庫來提取村落肌理、地形地貌、建筑形態結構、表皮材質等傳統村落特征,把全國傳統村落圖景以省份為界分為若干類,旨在為規劃師、建筑師、城鄉建設者等提供一個可以參考的大樣本村落現狀素材庫,也為中國傳統村落數字管理信息系統的建設和后續研究提供素材和定量支撐。

Based on Convolution Neural Network,this paper proposes a method for automatic recognition and classification of images of a large number of traditional villages.This method uses a self-built traditional village database with balanced sample distribution to extract features including texture,landform,building layout,building material,etc.by which the images of traditional villages are divided into several categories based on provinces.It aims to provide a large sample of material database of villages to planners,architects,urban and rural builders,as well as supporting the establishment and subsequent research of Chinese digital information system of traditional villages.