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The wood was used as raw material to obtain the wood skeleton by matrix-removal. And the high-strength wood-based composite hydrogels with PVA/PAM double network structure were constructed by in-situ polymerization. The change rules of macro/micro functional morphological characteristics, mechanical properties, optical properties and chemical composition of the wood-based composite hydrogels were systematically investigated by adjusting the mass ratio of PVA and PAM in the hydrogel system. The results show that introducing a small amount of PVA into the PAM/wood skeleton composite hydrogels and constructing a double network structure can effectively enhanced the mechanical properties of the wood-based composite hydrogels. As a result, the wood-based composite hydrogels show tensile properties with a maximum tensile strength and fracture elongation of 16.47 MPa and 11.61%. Furthermore, the wood-based composite hydrogel is used as a flexible substrate with a conductivity of 1.8 S/m to assemble and build sensor components. The results indicate that the flexible sensor exhibits stable and repeatable relative current signal changes under a variety of deformations.

To improve the recognition and positioning accuracy of road intersection extraction on electronic map, an automatic extraction method of road intersection on electronic map based on neighborhood features was proposed. Firstly, the road information of electronic map was extracted by object-oriented classification, and the road network was constructed after the road information is connected and refined by morphological algorithm. Then, the features of eight neighborhood foreground points of the road intersections were taken as the judgment rules to traverse the road network and extract the initial road intersections. Finally, the straight line fitted by the least square method was used to correct the positions deviation of the intersections to obtain the ac-curate locations of the intersections. The experimental results show that the recognition and positioning accuracy are improved, which can effectively extract the road intersections of the electronic map. [ABSTRACT FROM AUTHOR]