Multiscale Spatial Polygonal Object Granularity Factor Matching Method Based on BPNN
Spatial object matching is one of the fundamental technologies used for updating and merging spatial data. This study focused mainly on the matching optimization of multiscale spatial polygonal objects. We proposed a granularity factor evaluation index that was developed to promote the recognition a...
Main Authors: | Daoye Zhu, Chengqi Cheng, Weixin Zhai, Yihang Li, Shizhong Li, Bo Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2220-9964/10/2/75 |
Similar Items
-
Forms of Crossed and Simple Polygons
by: Luigi Togliani
Published: (2019-12-01) -
Polygonal Graceful Labeling of Some Simple Graphs
by: A Rama Lakshmi, et al.
Published: (2022-12-01) -
Multi-granularity and variable weight evaluation model for person-job matching
by: MAO Tengjiao, SHEN Hongyang, CAI Chunxiao, JIANG Jinli, ZHANG Yifan
Published: (2024-12-01) -
Polygonized Silhouettes and Polygon Coding Based Feature Representation for Human Action Recognition
by: Ogul Gocmen, et al.
Published: (2023-01-01) -
A Study from a Multi-dimensional Curriculum Perspective on Including Concave Polygons in Teaching Polygon Concepts
by: Joowon Do, et al.
Published: (2020-02-01)