Nothing Special   »   [go: up one dir, main page]

Saba et al., 2019 - Google Patents

Application of sub-pixel-based technique “orthorectification of optically sensed images and its correlation” for co-seismic landslide detection and its accuracy …

Saba et al., 2019

View PDF
Document ID
1834602449298864862
Author
Saba S
Khattak N
Ali M
Waseem M
Siddiqui S
Anjum S
Turab S
Publication year
Publication venue
Journal of Himalayan Earth Sciences

External Links

Snippet

Customary co-seismic landslide detection methods are meticulous, time demanding and very difficult to be adopted for regional-scale assessment. To provide on time fast and updated slope failure information, over the years numerous remote sensing based semi …
Continue reading at nceg.uop.edu.pk (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30181Earth observation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/30Analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20Image acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/40Scaling the whole image or part thereof
    • G06T3/4053Super resolution, i.e. output image resolution higher than sensor resolution
    • G06T3/4061Super resolution, i.e. output image resolution higher than sensor resolution by injecting details from a different spectral band
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis

Similar Documents

Publication Publication Date Title
Görüm Landslide recognition and mapping in a mixed forest environment from airborne LiDAR data
Nascimento Jr et al. Mapping changes in the largest continuous Amazonian mangrove belt using object-based classification of multisensor satellite imagery
Charaniya et al. Supervised parametric classification of aerial lidar data
Bater et al. Evaluating error associated with lidar-derived DEM interpolation
Grebby et al. Lithological mapping of the Troodos ophiolite, Cyprus, using airborne LiDAR topographic data
Orengo et al. Multi‐scale relief model (MSRM): a new algorithm for the visualization of subtle topographic change of variable size in digital elevation models
Kassouk et al. Object-oriented classification of a high-spatial resolution SPOT5 image for mapping geology and landforms of active volcanoes: Semeru case study, Indonesia
Lu et al. Co-seismic landslide mapping using Sentinel-2 10-m fused NIR narrow, red-edge, and SWIR bands
Iannelli et al. Jointly exploiting Sentinel-1 and Sentinel-2 for urban mapping
Mahrooghy et al. A machine learning framework for detecting landslides on earthen levees using spaceborne SAR imagery
Saba et al. Comparison of pixel, sub-pixel and object-based image analysis techniques for co-seismic landslides detection in seismically active area in Lesser Himalaya, Pakistan
Bretar et al. Terrain modeling from LiDAR range data in natural landscapes: A predictive and Bayesian framework
Martha Detection of landslides by object-oriented image analysis
Feng et al. Automatic selection of permanent scatterers-based GCPs for refinement and reflattening in InSAR DEM generation
Desoky et al. A comparative analysis to assess the efficiency of lineament extraction utilizing satellite imagery from Landsat-8, Sentinel-2B, and Sentinel-1A: A case study around suez canal zone, Egypt
Neuenschwander et al. Terrain classification of ladar data over Haitian urban environments using a lower envelope follower and adaptive gradient operator
Saba et al. Application of sub-pixel-based technique “orthorectification of optically sensed images and its correlation” for co-seismic landslide detection and its accuracy modification through the integration of various masks
Saba et al. Co-seismic landslides automatic detection on regional scale with sub-pixel analysis of multi temporal high resolution optical images: Application to southwest of Port Au Prince, Haiti
Shi et al. Intelligent perception of coseismic landslide migration areas along sichuan–tibet railway
Taskin et al. A review on multi-temporal earthquake assessment damage using satellite images
Baghdadi et al. Merging of airborne elevation data and Radarsat data to develop a Digital Elevation Model
Bopche et al. An approach to extracting digital elevation model for undulating and hilly terrain using de-noised stereo images of Cartosat-1 sensor
Ali et al. Assessment of Aeolian Activity in the Bodélé Depression, Chad: A Dense Spatiotemporal Time Series From Landsat-8 and Sentinel-2 Data
Gaber et al. Mapping the surface changes in the area of East Port-Said, Egypt using multi-temporal and multi-sensors remote sensing data
Gwenzi et al. Spatial modeling of Lidar-derived woody biomass estimates collected along transects in a heterogeneous savanna landscape