John N Sample

US Patent:

7791616, Sep 7, 2010

Filed:

Feb 9, 2007

Appl. No.:

11/673363

Inventors:

Elias Z K Ioup - New Orleans LA, US
John T Sample - Diamondhead MS, US
Hillary C Mesick - Long Beach MS, US

Assignee:

The United States of America as represented by the Secretary of the Navy - Washington DC

International Classification:

G09G 5/00

US Classification:

345606, 345581, 345619

Abstract:

A method and system for efficiently converting an image from a first map projection to a second map projection image. The method includes precomputing coordinates in the first map projection for a subset of the total number of pixels in an empty second map projection image and subsequently, finding the first map projection coordinates of each of the remaining pixels by linear interpolation using the precomputed first map projection coordinates of the nearest surrounding precomputed pixels. A color is assigned to the second map projection image pixel with bilinear interpolation using color values of surrounding first map projection pixels. If the first map projection has fiducials, only the area within the fiducials is considered. An embodiment converts a USGS DOQ in UTM format into Geodetic coordinates.

US Patent:

20100332192, Dec 30, 2010

Filed:

Apr 27, 2010

Appl. No.:

12/767871

Inventors:

Bruce Y. Lin - New Orleans LA, US
John T. Sample - Pearl River LA, US

Assignee:

The Government of the United States of America, as represented by the Secretary of the Navy - Washington DC

International Classification:

G06F 15/00

US Classification:

702189

Abstract:

A data set can self-describe a set of data specifications that describe the physical measurements, spatial representation, and file format of data stored in the data set. A data processing tool can self-describe a set of input specifications of the physical measurements, spatial representation, and file storage format of data that can be accepted for processing by the tool. Fully automated methods for coordinating the processing and analysis of the data set by the data processing tool are presented which ensure that the data input to a data processing tool represents the proper physical measurements, has the proper spatial representation, and is in the proper file format to permit the data processing tool to produce logically correct output.

US Patent:

20190130640, May 2, 2019

Filed:

Oct 31, 2017

Appl. No.:

15/799150

Inventors:

- Arlington VA, US
Elias Ioup - New Orleans LA, US
John Sample - Pearl River LA, US

International Classification:

G06T 17/05
G06T 7/62
G06T 7/143
G06T 7/11

Abstract:

Embodiments relate to visualization of positional geospatial uncertainty. Initially, a map image request for geographic features is received from a client computing device, where the map image request includes an uncertainty type, a distribution shape, and a selected visualization technique. An uncertainty buffer pixel size is determined based on a geographic distance covered by the distribution shape. At this stage, an uncertainty buffer of the uncertainty buffer pixel size is iterated across, and uncertainty is rendered at each position along the uncertainty buffer by determining a corresponding distribution probability from a probability distribution function at a current pixel position, mapping the corresponding distribution probability to a corresponding visual value of the selected visualization technique, rendering an uncertainty feature for the corresponding distribution probability around the geographic feature at the current pixel position and according to the corresponding visual value; and advancing the current pixel position based on the uncertainty type.

US Patent:

20180336224, Nov 22, 2018

Filed:

May 19, 2017

Appl. No.:

15/600561

Inventors:

- Arlington VA, US
Norman Schoenhardt - New Orleans LA, US
John T. Sample - Pearl River LA, US

International Classification:

G06F 17/30

Abstract:

Embodiments relate to hash-based synchronization of geospatial vector features. Initially, a list of spatial data layers in a source spatial datastore is obtained. For each of the spatial data layers, a source layer hash is determined for a source data layer of the spatial data layers, a destination data layer is identified in a destination spatial datastore that is related to the source data layer, where the destination data layer is associated with a destination layer hash, and in response to determining that the source layer hash and the destination layer hash do not match, source features from the source data layer are selectively synchronized to the destination data layer.