Towards a Globally Consistent Nautical Chart Datum Definition in France

2002 ◽  
pp. 270-275 ◽  
Author(s):  
A. Ballay ◽  
B. Simon ◽  
G. Wôppelmann
Keyword(s):  
Nautical Chart

A tile-based system for the rapid display of symbolized Digital Nautical Chart data

OCEANS 2009 ◽  
2009 ◽  
Author(s):  
Norman Schoenhardt ◽  
John T. Sample ◽  
Frank McCreedy
Keyword(s):  
Nautical Chart

Digital Nautical Chart

1993 ◽  
Author(s):  
James H. Hammack ◽  
S. D. Coughlan
Keyword(s):  
Nautical Chart

Digital Nautical Chart

1992 ◽  
Author(s):  
James A. Hammack
Keyword(s):  
Nautical Chart

Evaluation of Nautical Chart Adequacy in the Coastal Area around Incheon Bay using Satellite Imagery with AIS Data

2017 ◽  
Vol 79 ◽  
pp. 319-323 ◽  
Author(s):  
Jae Young Roh ◽  
Moon Seung Shin ◽  
Yong Cheol Suh ◽  
In Tae Yang ◽  
Dong Ha Lee
Keyword(s):  
Satellite Imagery ◽  
Coastal Area ◽  
Nautical Chart

scholarly journals Automated Identification of Discrepancies between Nautical Charts and Survey Soundings

2018 ◽  
Vol 7 (10) ◽  
pp. 392 ◽  
Author(s):  
Giuseppe Masetti ◽  
Tyanne Faulkes ◽  
Christos Kastrisios
Keyword(s):  
Best Practices ◽  
Automated Identification ◽  
Specific Point ◽  
Accurate Identification ◽  
Triangulated Irregular Network ◽  
Identification Process ◽  
Nautical Chart ◽  
Human Evaluation ◽  
Change Identification ◽  
Automated Processes

Timely and accurate identification of change detection for areas depicted on nautical charts constitutes a key task for marine cartographic agencies in supporting maritime safety. Such a task is usually achieved through manual or semi-automated processes, based on best practices developed over the years requiring a substantial level of human commitment (i.e., to visually compare the chart with the new collected data or to analyze the result of intermediate products). This work describes an algorithm that aims to largely automate the change identification process as well as to reduce its subjective component. Through the selective derivation of a set of depth points from a nautical chart, a triangulated irregular network is created to apply a preliminary tilted-triangle test to all the input survey soundings. Given the complexity of a modern nautical chart, a set of feature-specific, point-in-polygon tests are then performed. As output, the algorithm provides danger-to-navigation candidates, chart discrepancies, and a subset of features that requires human evaluation. The algorithm has been successfully tested with real-world electronic navigational charts and survey datasets. In parallel to the research development, a prototype application implementing the algorithm was created and made publicly available.

scholarly journals Automated Identification of Discrepancies between Nautical Charts and Survey Soundings

2018 ◽  
Author(s):  
Giuseppe Masetti ◽  
Tyanne Faulkes ◽  
Christos Kastrisios
Keyword(s):  
Best Practices ◽  
Automated Identification ◽  
Specific Point ◽  
Accurate Identification ◽  
Triangulated Irregular Network ◽  
Identification Process ◽  
Nautical Chart ◽  
Human Evaluation ◽  
Change Identification ◽  
Automated Processes

Timely and accurate identification of change detection for areas depicted on nautical charts constitutes a key task for marine cartographic agencies in supporting maritime safety. Such a task is usually achieved through manual or semi-automated processes, based on best practices developed over the years requiring a substantial level of human commitment (i.e., to visually compare the chart with the new collected data or to analyze the result of intermediate products). This work describes an algorithm that aims to largely automate the change identification process as well as to reduce its subjective component. Through the selective derivation of a set of depth points from a nautical chart, a triangulated irregular network is created to apply a preliminary tilted-triangle test to all the input survey soundings. Given the complexity of a modern nautical chart, a set of feature-specific, point-in-polygon tests are then performed. As output, the algorithm provides danger-to-navigation candidates, chart discrepancies, and a subset of features that requires human evaluation. The algorithm has been successfully tested with real-world electronic navigational charts and survey datasets. In parallel to the research development, a prototype application implementing the algorithm was created and made publicly available.

The Nautical Chart of 1424 and the Early Discovery and Cartographical Representation of America

1954 ◽  
Vol 120 (4) ◽  
pp. 518
Author(s):  
E. G. R. T. ◽  
A. Cortesao
Keyword(s):  
Nautical Chart

The Cartographer Sets Sail: Eyewitness Records and Early Modern Maps

2021 ◽  
Vol 10 (2) ◽  
pp. e016
Author(s):  
Chet Van Duzer
Keyword(s):  
Early Modern ◽  
Nautical Chart

In this article I examine early nautical charts and isolarii, or island books illustrated with maps, for evidence that indicates the maps were made on the basis of first-hand observation by the cartographer. There are very few claims on early nautical charts that the charts were created based on the cartographers’ own observations. I suggest that these claims are rare because chart-making was more an artistic enterprise than as a medium for recording discoveries. This conception of nautical charts changed with the advent of the Age of Discoveries, and claims that charts were made based on eyewitness information become more common. The case with isolarii is very different, although the maps in isolarii derive from the nautical chart tradition. Some of the creators of isolarii claim that their works were based on first-hand experience, but not always truthfully. Other authors neither sailed among the islands they describe nor claim to have visited them.

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