Tin‐Seong, 1995 - Google Patents
Integrating GIS and remote sensing techniques for urban land‐cover and land‐use analysisTin‐Seong, 1995
- Document ID
- 10882069094192581781
- Author
- Tin‐Seong K
- Publication year
- Publication venue
- Geocarto International
External Links
Snippet
The computer‐based GIS, with its remarkable ability to store, retrieve, manipulate and display vast quantities of spatial and attribute data, has become a very useful tool for urban planning. Yet the utility of GIS in urban planning and management is often hampered by a …
- 238000000034 method 0 title abstract description 35
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30241—Information retrieval; Database structures therefor; File system structures therefor in geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
- G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
- G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
- G01C21/28—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network with correlation of data from several navigational instruments
- G01C21/30—Map- or contour-matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4053—Super resolution, i.e. output image resolution higher than sensor resolution
- G06T3/4061—Super resolution, i.e. output image resolution higher than sensor resolution by injecting details from a different spectral band
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Tin‐Seong | Integrating GIS and remote sensing techniques for urban land‐cover and land‐use analysis | |
Star et al. | Integration of geographic information systems and remote sensing | |
Eastman | Guide to GIS and image processing volume | |
Conolly et al. | Geographical information systems in archaeology | |
Yang | Satellite monitoring of urban spatial growth in the Atlanta metropolitan area | |
Tehrany et al. | Remote sensing data reveals eco-environmental changes in urban areas of Klang Valley, Malaysia: contribution from object based analysis | |
Sampson et al. | WRF Hydro GIS Pre-Processing Tools, Version 5.0, Documentation | |
CN115631423A (en) | Remote sensing satellite coverage prediction method considering meteorological prediction cloud picture and sensor measurement pendulum | |
CN112767244B (en) | High-resolution seamless sensing method and system for earth surface elements | |
CN116994012A (en) | Map spot matching system and method based on ecological restoration | |
Sleeter et al. | Estimating daytime and nighttime population density for coastal communities in Oregon | |
McKeown | MAPS: the organization of a spatial database system using imagery, terrain, and map data | |
Franklin | Land cover stratification using Landsat Thematic Mapper data in Sahelian and Sudanian woodland and wooded grassland | |
Bechtel et al. | Beyond built-up: The internal makeup of urban areas | |
Jande et al. | Land use/landcover change detection mapping of Apa local government area, Benue state, Nigeria | |
CN115880427A (en) | Three-dimensional construction method and device of natural environment | |
CN115357675A (en) | Method and system for establishing image control point database through image control point standardization processing | |
Khorram et al. | Accuracy assessment of land cover change detection | |
Liu et al. | Decadal analysis and simulation of land use and land cover changes in Taiwan using machine learning and Markov chain models | |
Bello et al. | Large scale mapping: an empirical comparison of pixel-based and object-based classifications of remotely sensed data | |
KR102616809B1 (en) | System and method for RS GIS based water friendly facility information map creation and watershed survey | |
Tadesse | Application of remote sensing and geographical information system in mapping land cover of the national park. | |
Amin et al. | Evaluation of Land Use Maps Using Remote Sensing and GIS | |
Chen et al. | 4 Sample Judgment | |
Chan et al. | Remote sensing and geographic information systems |