[go: up one dir, main page]

Lopez et al., 2019 - Google Patents

Line-based image segmentation method: a new approach to segment VHSR remote sensing images automatically

Lopez et al., 2019

View PDF
Document ID
16865974867681422120
Author
Lopez J
Branch J
Chen G
Publication year
Publication venue
European Journal of Remote Sensing

External Links

Snippet

There exist different approaches for segmenting Very High Spatial Resolution (VHSR) remote sensing imagery with competitive performance, including object-based (eg Multiresolution), gradient-based (eg Watershed), and clustering-based (eg k-means) …
Continue reading at www.tandfonline.com (PDF) (other versions)

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
    • 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
    • G06T2207/20112—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
    • G06K9/20—Image acquisition
    • G06K9/32—Aligning or centering of the image pick-up or image-field
    • G06K9/3233—Determination of region of interest
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • 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
    • G06K9/62—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
    • G06K9/6267—Classification techniques
    • 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
    • G06T2207/20092—Interactive image processing based on input by user
    • 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
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • 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
    • 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

Similar Documents

Publication Publication Date Title
US11037291B2 (en) System and method for detecting plant diseases
Arévalo et al. Shadow detection in colour high‐resolution satellite images
Asokan et al. Machine learning based image processing techniques for satellite image analysis-a survey
Hoonhout et al. An automated method for semantic classification of regions in coastal images
Abdollahi et al. Extraction of road features from UAV images using a novel level set segmentation approach
Aytekın et al. Unsupervised building detection in complex urban environments from multispectral satellite imagery
Medvedeva et al. Image segmentation based on two-dimensional Markov chains
Li et al. Unsupervised road extraction via a Gaussian mixture model with object-based features
Zhang et al. Detection of regions of interest in a high-spatial-resolution remote sensing image based on an adaptive spatial subsampling visual attention model
Ghaffarian et al. An improved cluster-based snake model for automatic agricultural field boundary extraction from high spatial resolution imagery
Dong et al. A cloud detection method for GaoFen-6 wide field of view imagery based on the spectrum and variance of superpixels
Lecca et al. Comprehensive evaluation of image enhancement for unsupervised image description and matching
Zhu et al. A generalized framework for agricultural field delineation from high-resolution satellite imageries
de Lima et al. Pix2pix network to estimate agricultural near infrared images from rgb data
Hadavand et al. Segmentation parameter selection for object-based land-cover mapping from ultra high resolution spectral and elevation data
Ngoc et al. Document detection in videos captured by smartphones using a saliency-based method
Wang et al. Segmentation of multispectral high-resolution satellite imagery based on integrated feature distributions
Lopez et al. Line-based image segmentation method: a new approach to segment VHSR remote sensing images automatically
Aghighi et al. Dynamic block-based parameter estimation for MRF classification of high-resolution images
JP4285640B2 (en) Object identification method, apparatus and program
Hao et al. Active cues collection and integration for building extraction with high-resolution color remote sensing imagery
Shen et al. Cropland extraction from very high spatial resolution satellite imagery by object-based classification using improved mean shift and one-class support vector machines
Xiong et al. Self-adaptive segmentation of satellite images based on a weighted aggregation approach
Mehravar et al. Varying weighted spatial quality assessment for high resolution satellite image pan-sharpening
Zhang et al. Region of interest extraction via common salient feature analysis and feedback reinforcement strategy for remote sensing images