Abstract
In generating maps to meet prescribed accuracy standards from remote sensing data, validation is required. Cost considerations dictate that a sampling strategy for field checking be employed. The use of a sampling procedure to assess the accuracy of polygon classification, boundary line placement, and control point placement on land-use maps is described. Combining these measures into a single figure of merit with a confidence interval is suggested to foster acceptance in the user community.
Keywords
Polygon (computer graphics)Boundary (topology)Sampling (signal processing)Computer scienceField (mathematics)Interval (graph theory)Point (geometry)CartographySampling intervalGeographyData miningBoundary lineRemote sensingStatisticsMathematicsComputer visionTelecommunications
Related Publications
TESTING LAND-USE MAP ACCURACY
In providing land-use maps to meet prescribed specification accuracy standards from remote sensing data, some form of reliable statistical testing is necessary. Cost considerati...
Introduction to remote sensing
Preface. Part I: Foundations. History and Scope of Remote Sensing. Electromagentic Radiation. Part II: Image Acquisition. Photographic Sensors. Digital Data. Image Interpretatio...
Sub‐pixel mapping of rural land cover objects from fine spatial resolution satellite sensor imagery using super‐resolution pixel‐swapping
Mapping rural land cover features, such as trees and hedgerows, for ecological applications is a desirable component of the creation of cartographic maps by the Ordnance Survey....
The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019
Abstract. Land cover (LC) determines the energy exchange, water and carbon cycle between Earth's spheres. Accurate LC information is a fundamental parameter for the environment ...
Publication Info
- Year
- 1976
- Type
- article
- Volume
- 42
- Issue
- 5
- Citations
- 100
- Access
- Closed
External Links
Citation Metrics
100
OpenAlex
Cite This
R. Michael Hord,
W. G. Brooner
(1976).
LAND-USE MAP ACCURACY CRITERIA.
Photogrammetric Engineering & Remote Sensing
, 42
(5)
.