Automation in Cartography With Remote Sensing Methodologies and Technologies
Bibliographic Data
| ID | 14701998 |
|---|---|
| Authors | SHIN-YI HSU (State University of New York at Binghamton), Shin‐Yi Hsu (Binghamton University, corresponding author) |
| Year | 1979 |
| Volume | 16 |
| Issue | 2 |
| Pages | 183-194 |
| Publication date | 1979-12-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cartographica The International Journal for Geographic Information and Geovisualization (JOURNAL) |
| Journal identifiers | ISSN: 0317-7173 • E-ISSN: 1911-9925 |
| Publisher | University of Toronto Press Inc. (UTPress) (PUBLISHER) |
| DOI | 10.3138/84p7-4t06-63uk-nr81 |
| OpenAlex | W2024058918 |
| Language | EN |
Along with rapid advances in texture feature extraction, perceptual studies on textural patterns and measures have gained a significant role in designing feature extractors for image processing and automation in cartography. This paper demonstrates that the Hsu measurement corresponds closely to visual perception with respect to similarity measurements between perceptual distances and the Mahalanobis D
Automation · Cartography · Computer vision · Feature (linguistics · Feature extraction · Geography · Image (mathematics · Mahalanobis distance · Pattern recognition (psychology · Similarity (geometry · Texture (cosmology · Computer Science · Engineering · Image Retrieval and Classification Techniques · Remote Sensing and Land Use · Remote-Sensing Image Classification · Artificial Intelligence
| Highly cited | No |
|---|