Luo et al., 2019 - Google Patents
Shadow removal based on separated illumination correction for urban aerial remote sensing imagesLuo et al., 2019
- Document ID
- 17578813258538698880
- Author
- Luo S
- Shen H
- Li H
- Chen Y
- Publication year
- Publication venue
- Signal Processing
External Links
Snippet
The presence of shadows in urban aerial images degrades the image quality and reduces the application accuracy. Removing shadows and recovering the ground information is therefore a crucial issue. The existing shadow removal methods can correct the shadow …
- 238000005286 illumination 0 title abstract description 80
Classifications
-
- 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
- G06T2207/10024—Color image
-
- 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
- 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
- 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
- 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
- G06K9/4652—Extraction of features or characteristics of the image related to colour
-
- 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
- G06T2207/20048—Transform domain processing
-
- 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
- G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/008—Local, e.g. shadow enhancement
-
- 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
- G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
- G06K9/0014—Pre-processing, e.g. image segmentation ; Feature extraction
-
- 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
- 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
- G06K9/38—Quantising the analogue image signal, e.g. histogram thresholding for discrimination between background and foreground patterns
-
- 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
- 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
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Luo et al. | Shadow removal based on separated illumination correction for urban aerial remote sensing images | |
Li et al. | Digital hair removal by deep learning for skin lesion segmentation | |
Chen et al. | Blind cloud and cloud shadow removal of multitemporal images based on total variation regularized low-rank sparsity decomposition | |
Li et al. | Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery | |
Rishikeshan et al. | An automated mathematical morphology driven algorithm for water body extraction from remotely sensed images | |
Liu et al. | Haze removal for a single visible remote sensing image | |
CN109558806B (en) | Method for detecting high-resolution remote sensing image change | |
Tseng et al. | Automatic cloud removal from multi-temporal SPOT images | |
Li et al. | An adaptive nonlocal regularized shadow removal method for aerial remote sensing images | |
Xie et al. | Deep convolutional networks with residual learning for accurate spectral-spatial denoising | |
CN109872285A (en) | A Variational Constraint-Based Retinex Low-Illumination Color Image Enhancement Method | |
Kang et al. | Fog model-based hyperspectral image defogging | |
Pesaresi et al. | A new compact representation of morphological profiles: Report on first massive VHR image processing at the JRC | |
Banerjee et al. | Nighttime image-dehazing: a review and quantitative benchmarking | |
Xie et al. | Trainable spectral difference learning with spatial starting for hyperspectral image denoising | |
Zhang et al. | Multi-focus image fusion based on sparse decomposition and background detection | |
CN116403123A (en) | Remote sensing image change detection method based on deep convolution network | |
Li et al. | Fast hyperspectral image dehazing with dark-object subtraction model | |
Yu et al. | Mean shift based clustering of neutrosophic domain for unsupervised constructions detection | |
Albanwan et al. | A novel spectrum enhancement technique for multi-temporal, multi-spectral data using spatial-temporal filtering | |
Luo et al. | Converting local spectral and spatial information from a priori classifiers into contextual knowledge for impervious surface classification | |
Luo et al. | Shadow removal based on clustering correction of illumination field for urban aerial remote sensing images | |
CN111310566A (en) | A method and system for wildfire detection based on static and dynamic multi-feature fusion | |
Yu et al. | Haze removal using deep convolutional neural network for Korea Multi-Purpose Satellite-3A (KOMPSAT-3A) multispectral remote sensing imagery | |
Ji et al. | Physics-Guided Optical Simulation and PSF Analysis for Remote Sensing Images Deblurring |