Changhui et al., 2013 - Google Patents
Cloud detection method based on feature extraction in remote sensing imagesChanghui et al., 2013
View PDF- Document ID
- 17393088193536034470
- Author
- Changhui Y
- Yuan Y
- Minjing M
- Menglu Z
- Publication year
- Publication venue
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
External Links
Snippet
In remote sensing images, the existence of the clouds has a great impact on the image quality and subsequent image processing, as the images covered with clouds contain little useful information. Therefore, the detection and recognition of clouds is one of the major …
- 238000001514 detection method 0 title abstract description 31
Classifications
-
- 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
- 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
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- 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
-
- 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
- G06K9/32—Aligning or centering of the image pick-up or image-field
-
- 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
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- 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
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template 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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
-
- 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
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Soh et al. | Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices | |
Albregtsen | Statistical texture measures computed from gray level coocurrence matrices | |
Changhui et al. | Cloud detection method based on feature extraction in remote sensing images | |
Li et al. | Extraction of sea ice cover by Sentinel-1 SAR based on support vector machine with unsupervised generation of training data | |
Xia et al. | Structural high-resolution satellite image indexing | |
CN104376330B (en) | Polarimetric SAR Image Ship Target Detection method based on super-pixel scattering mechanism | |
Tu et al. | Automatic building damage detection method using high-resolution remote sensing images and 3D GIS model | |
CN107742113B (en) | One kind being based on the posterior SAR image complex target detection method of destination number | |
Li et al. | An improved approach of information extraction for earthquake-damaged buildings using high-resolution imagery | |
CN102208017A (en) | Ship detection method based on high-resolution synthetic aperture radar images | |
Kwon et al. | ETVOS: An enhanced total variation optimization segmentation approach for SAR sea-ice image segmentation | |
Lambers et al. | Towards detection of archaeological objects in high-resolution remotely sensed images: the Silvretta case study | |
CN108647658A (en) | A kind of infrared imaging detection method of high-altitude cirrus | |
Venkatakrishnamoorthy et al. | Cloud enhancement of NOAA multispectral images by using independent component analysis and principal component analysis for sustainable systems | |
CN103093243A (en) | High resolution panchromatic remote sensing image cloud discriminating method | |
Guan et al. | Partially supervised hierarchical classification for urban features from lidar data with aerial imagery | |
Huang et al. | Superpixel-based change detection in high resolution sar images using region covariance features | |
Li et al. | Building detection in sar images based on bi-dimensional empirical mode decomposition algorithm | |
CN111460943A (en) | Remote sensing image ground object classification method and system | |
Erener et al. | A methodology for land use change detection of high resolution pan images based on texture analysis | |
Brunner et al. | Change detection for earthquake damage assessment in built-up areas using very high resolution optical and SAR imagery | |
Dos Santos et al. | Automatic building change detection using multi-temporal airborne LiDAR data | |
Fu et al. | A new method for noise estimation in single-band remote sensing images | |
Huang et al. | Morphological building index (MBI) and its applications to urban areas | |
Yin et al. | Multispectral remote sensing image classification with multiple features |