Jaklič et al., 2016 - Google Patents
Automatic digitization of pluviograph strip chartsJaklič et al., 2016
View PDF- Document ID
- 4414607375159681317
- Author
- Jaklič A
- Šajn L
- Derganc G
- Peer P
- Publication year
- Publication venue
- Meteorological Applications
External Links
Snippet
An algorithm for automatic digitization of pluviograph strip charts is presented. The rainfall signal is incrementally extracted from the scanned image of a strip chart by combining the moving average method and the curve edge following method. The mechanical properties of …
- 238000004422 calculation algorithm 0 abstract description 36
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
-
- 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
- G06F17/20—Handling natural language data
-
- 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
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- 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
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- 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
- G06K9/62—Methods or arrangements for recognition using electronic means
-
- 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
- G06K9/20—Image acquisition
-
- 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
- G06K9/00442—Document analysis and understanding; Document recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- 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
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Dethier et al. | Toward improved accuracy of remote sensing approaches for quantifying suspended sediment: Implications for suspended‐sediment monitoring | |
Di Baldassarre et al. | Flood-plain mapping: a critical discussion of deterministic and probabilistic approaches | |
Yin et al. | How to assess the accuracy of the individual tree-based forest inventory derived from remotely sensed data: A review | |
Gonga-Saholiariliva et al. | Techniques for quantifying the accuracy of gridded elevation models and for mapping uncertainty in digital terrain analysis | |
Duong et al. | Single and two epoch analysis of ICESat full waveform data over forested areas | |
Wang et al. | Reconstruction of satellite chlorophyll-a data using a modified DINEOF method: a case study in the Bohai and Yellow seas, China | |
Stauffer et al. | Ensemble postprocessing of daily precipitation sums over complex terrain using censored high-resolution standardized anomalies | |
Jaklič et al. | Automatic digitization of pluviograph strip charts | |
Zhang et al. | Restoration of clouded pixels in multispectral remotely sensed imagery with cokriging | |
Silveira et al. | Object-based land-cover change detection applied to Brazilian seasonal savannahs using geostatistical features | |
Steinmann et al. | Small area estimations of proportion of forest and timber volume combining Lidar data and stereo aerial images with terrestrial data | |
van Oort et al. | Spatial variability in classification accuracy of agricultural crops in the Dutch national land-cover database | |
Shamsoddini et al. | Improving lidar-based forest structure mapping with crown-level pit removal | |
DomaÇ et al. | Integration of environmental variables with satellite images in regional scale vegetation classification | |
Pollard et al. | Harmonising topographic & remotely sensed datasets, a reference dataset for shoreline and beach change analysis | |
Keys et al. | Monitoring volumetric fluctuations in tropical lakes and reservoirs using satellite remote sensing | |
Huang et al. | Mapping particle‐size fractions as a composition using additive log‐ratio transformation and ancillary data | |
Debella-Gilo | Bare-earth extraction and DTM generation from photogrammetric point clouds including the use of an existing lower-resolution DTM | |
Bangen et al. | Crew variability in topographic surveys for monitoring wadeable streams: a case study from the Columbia River Basin | |
Holmlund et al. | Constraining 135 years of mass balance with historic structure-from-motion photogrammetry on Storglaciären, Sweden | |
Wei et al. | Detecting damaged buildings using a texture feature contribution index from post-earthquake remote sensing images | |
CN106646634A (en) | Method and device for correcting abnormal micro-resistivity scanning imaging logging data | |
Takahashi et al. | Stand volume estimation by combining low laser-sampling density LiDAR data with QuickBird panchromatic imagery in closed-canopy Japanese cedar (Cryptomeria japonica) plantations | |
CN109523509B (en) | Method and device for detecting heading stage of wheat and electronic equipment | |
Waser et al. | High‐resolution digital surface models (DSMs) for modelling fractional shrub/tree cover in a mire environment |