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The Resource Automating the Analysis of Spatial Grids : A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications, by Valliappa Lakshmanan, (electronic resource)
Automating the Analysis of Spatial Grids : A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications, by Valliappa Lakshmanan, (electronic resource)
Resource Information
The item Automating the Analysis of Spatial Grids : A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications, by Valliappa Lakshmanan, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Manitoba Libraries.This item is available to borrow from all library branches.
Resource Information
The item Automating the Analysis of Spatial Grids : A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications, by Valliappa Lakshmanan, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Manitoba Libraries.
This item is available to borrow from all library branches.
- Summary
- The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. The aim is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution survey imagery
- Language
-
- eng
- eng
- Edition
- 1st ed. 2012.
- Extent
- 1 online resource (327 p.)
- Note
- Description based upon print version of record
- Contents
-
- Automated Analysis of Spatial Grids: Motivation and Challenges
- -Geographic Information Systems
- -GIS Operations
- -Need for Automation
- -Spatial Grids
- -Challenges in Automated Analysis
- -Spatial Data Mining Algorithms
- Geospatial grids
- -Representation
- -Linearity of data values
- -Instrument geometry
- -Gridding point observations
- -Rasterization
- -Example Applications
- Data Structures for Spatial Grids
- -Array
- -Pixels
- -Level set
- -Topographical surface
- -Markov chain
- -Matrix
- -Parametric approximation
- -Relational structure
- -Applications
- Global and Local Image Statistics
- -Types of statistics
- -Distances
- -Distance transform
- -Probability Functions
- -Local measures
- -Example Applications
- Neighborhood and Window Operations
- -Preprocessing
- -Window operations
- -Median filter
- -Morphological operations
- -Skeletonization
- -Frequency Domain Convolution
- -Example Applications
- Identifying Objects
- -Object identification
- -Region growing
- -Region properties
- -Hysteresis
- -Active contours
- -Watershed Transform
- -Enhanced watershed
- -Contiguity-enhanced Clustering
- -Choosing an object-identification technique
- -Example Applications
- Change and Motion Estimation
- -Estimating change
- -Optical Flow
- -Object-tracking
- -Choosing a change or motion estimation technique
- -Example Applications
- Data Mining Attributes from Spatial Grids
- -Data Mining
- -A Fuzzy Logic Application
- -Supervised learning models
- -Clustering
- -Example Applications
- Isbn
- 9789400740754
- Label
- Automating the Analysis of Spatial Grids : A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications
- Title
- Automating the Analysis of Spatial Grids
- Title remainder
- A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications
- Statement of responsibility
- by Valliappa Lakshmanan
- Language
-
- eng
- eng
- Summary
- The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. The aim is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution survey imagery
- http://library.link/vocab/creatorName
- Lakshmanan, Valliappa
- Dewey number
- 910.285
- http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
- ErXCCOmkMP0
- Language note
- English
- LC call number
- TA703-705.4
- Literary form
- non fiction
- Nature of contents
- dictionaries
- Series statement
- Geotechnologies and the Environment,
- Series volume
- 6
- http://library.link/vocab/subjectName
-
- Geographical information systems
- Data mining
- Geography
- Geotechnical Engineering & Applied Earth Sciences
- Geographical Information Systems/Cartography
- Data Mining and Knowledge Discovery
- Earth Sciences, general
- Label
- Automating the Analysis of Spatial Grids : A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications, by Valliappa Lakshmanan, (electronic resource)
- Note
- Description based upon print version of record
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
- cr
- Content category
- text
- Content type code
- txt
- Contents
- Automated Analysis of Spatial Grids: Motivation and Challenges -- -Geographic Information Systems -- -GIS Operations -- -Need for Automation -- -Spatial Grids -- -Challenges in Automated Analysis -- -Spatial Data Mining Algorithms -- Geospatial grids -- -Representation -- -Linearity of data values -- -Instrument geometry -- -Gridding point observations -- -Rasterization -- -Example Applications -- Data Structures for Spatial Grids -- -Array -- -Pixels -- -Level set -- -Topographical surface -- -Markov chain -- -Matrix -- -Parametric approximation -- -Relational structure -- -Applications -- Global and Local Image Statistics -- -Types of statistics -- -Distances -- -Distance transform -- -Probability Functions -- -Local measures -- -Example Applications -- Neighborhood and Window Operations -- -Preprocessing -- -Window operations -- -Median filter -- -Morphological operations -- -Skeletonization -- -Frequency Domain Convolution -- -Example Applications -- Identifying Objects -- -Object identification -- -Region growing -- -Region properties -- -Hysteresis -- -Active contours -- -Watershed Transform -- -Enhanced watershed -- -Contiguity-enhanced Clustering -- -Choosing an object-identification technique -- -Example Applications -- Change and Motion Estimation -- -Estimating change -- -Optical Flow -- -Object-tracking -- -Choosing a change or motion estimation technique -- -Example Applications -- Data Mining Attributes from Spatial Grids -- -Data Mining -- -A Fuzzy Logic Application -- -Supervised learning models -- -Clustering -- -Example Applications
- Dimensions
- unknown
- Edition
- 1st ed. 2012.
- Extent
- 1 online resource (327 p.)
- Form of item
- online
- Isbn
- 9789400740754
- Media category
- computer
- Media type code
- c
- Other control number
- 10.1007/978-94-007-4075-4
- Specific material designation
- remote
- System control number
-
- (CKB)3190000000023942
- (EBL)971433
- (OCoLC)796783677
- (SSID)ssj0000694928
- (PQKBManifestationID)11446272
- (PQKBTitleCode)TC0000694928
- (PQKBWorkID)10670175
- (PQKB)11497738
- (DE-He213)978-94-007-4075-4
- (MiAaPQ)EBC971433
- (EXLCZ)993190000000023942
- Label
- Automating the Analysis of Spatial Grids : A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications, by Valliappa Lakshmanan, (electronic resource)
- Note
- Description based upon print version of record
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
- cr
- Content category
- text
- Content type code
- txt
- Contents
- Automated Analysis of Spatial Grids: Motivation and Challenges -- -Geographic Information Systems -- -GIS Operations -- -Need for Automation -- -Spatial Grids -- -Challenges in Automated Analysis -- -Spatial Data Mining Algorithms -- Geospatial grids -- -Representation -- -Linearity of data values -- -Instrument geometry -- -Gridding point observations -- -Rasterization -- -Example Applications -- Data Structures for Spatial Grids -- -Array -- -Pixels -- -Level set -- -Topographical surface -- -Markov chain -- -Matrix -- -Parametric approximation -- -Relational structure -- -Applications -- Global and Local Image Statistics -- -Types of statistics -- -Distances -- -Distance transform -- -Probability Functions -- -Local measures -- -Example Applications -- Neighborhood and Window Operations -- -Preprocessing -- -Window operations -- -Median filter -- -Morphological operations -- -Skeletonization -- -Frequency Domain Convolution -- -Example Applications -- Identifying Objects -- -Object identification -- -Region growing -- -Region properties -- -Hysteresis -- -Active contours -- -Watershed Transform -- -Enhanced watershed -- -Contiguity-enhanced Clustering -- -Choosing an object-identification technique -- -Example Applications -- Change and Motion Estimation -- -Estimating change -- -Optical Flow -- -Object-tracking -- -Choosing a change or motion estimation technique -- -Example Applications -- Data Mining Attributes from Spatial Grids -- -Data Mining -- -A Fuzzy Logic Application -- -Supervised learning models -- -Clustering -- -Example Applications
- Dimensions
- unknown
- Edition
- 1st ed. 2012.
- Extent
- 1 online resource (327 p.)
- Form of item
- online
- Isbn
- 9789400740754
- Media category
- computer
- Media type code
- c
- Other control number
- 10.1007/978-94-007-4075-4
- Specific material designation
- remote
- System control number
-
- (CKB)3190000000023942
- (EBL)971433
- (OCoLC)796783677
- (SSID)ssj0000694928
- (PQKBManifestationID)11446272
- (PQKBTitleCode)TC0000694928
- (PQKBWorkID)10670175
- (PQKB)11497738
- (DE-He213)978-94-007-4075-4
- (MiAaPQ)EBC971433
- (EXLCZ)993190000000023942
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.lib.umanitoba.ca/portal/Automating-the-Analysis-of-Spatial-Grids--A/jbQLtDyYfaY/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.lib.umanitoba.ca/portal/Automating-the-Analysis-of-Spatial-Grids--A/jbQLtDyYfaY/">Automating the Analysis of Spatial Grids : A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications, by Valliappa Lakshmanan, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.lib.umanitoba.ca/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.lib.umanitoba.ca/">University of Manitoba Libraries</a></span></span></span></span></div>