Road Extraction Source Code Based on Fuzzy Connectivity

In this document, I would like to share information about source code implementations for road extraction based on fuzzy connectivity. For those interested in intelligent processing of remote sensing imagery, I recommend referring to Li Chaofeng's book "Intelligent Processing of Remote Sensing Images," which serves as a key reference for this implementation. The book provides extensive valuable information about remote sensing image processing, including detailed discussions on fuzzy connectivity-based road extraction source code. The algorithm implementation typically involves calculating fuzzy affinity relationships between pixels, establishing connectivity paths through fuzzy connectedness measures, and applying thresholding techniques for road network identification. Key functions may include pixel neighborhood analysis, affinity computation using intensity and spatial relationships, and connectivity strength calculations. Through study and practical implementation, you can gain deep insights into how to utilize fuzzy connectivity algorithms to extract road information from remote sensing data. I hope this information proves beneficial for your work!