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LARGE OIL SPILL CLASSIFICATION USING SAR IMAGES BASED ON SPATIAL HISTOGRAM
Non-linear filter Unsupervised Automatic Classification Natural Hazards
2016/12/1
Among the different types of marine pollution, oil spill is a major threat to the sea ecosystems. Remote sensing is used in oil spill response. Synthetic Aperture Radar (SAR) is an active microwave se...
REGION OF INTEREST DETECTION BASED ON HISTOGRAM SEGMENTATION FOR SATELLITE IMAGE
Region of interest Image segmentation Histogram segmentation Morphological Satellite image
2016/11/23
High resolution satellite imaging is considered as the outstanding applicant to extract the Earth’s surface information. Extraction of a feature of an image is very difficult due to having to find the...
DE-STRIPING FOR TDICCD REMOTE SENSING IMAGE BASED ON STATISTICAL FEATURES OF HISTOGRAM
Statistical Features of Histogram De-striping Histogrammic Centroid Correlation Coefficient Automatic Cloud Detection Non-uniformity
2016/7/4
Aim to striping noise brought by non-uniform response of remote sensing TDI CCD, a novel de-striping method based on statistical features of image histogram is put forward. By analysing the distributi...
Vehicle Extraction Using Histogram and Genetic Algorithm Based Fuzzy Image Segmentation from High Resolution UAV Aerial Imagery
Vehicle Extraction Histogram Genetic Algorithm Image Segmentation Unmanned Aerial Vehicle (UAV)
2015/12/9
In this paper, an approach for extracting vehicles from UAV aerial imagery is given. The approach is based on a fuzzy segmentation algorithm, which combine fuzzy c-partition and genetic algorithm, and...
A Clustering Algorithm of Land Grades Based on Cloud Histogram
Land Grade Cloud Model Histogram Clustering Algorithm
2015/12/2
This paper analyzes the drawbacks of traditional land grade clustering method, introduces cloud model into the frequency histogram drawing process, and advances the land grade clustering method based ...
DEVELOPMENT OF IRS-HISTOGRAM DATABASE USING IRS-P6 AWIFS IMAGERY
Signal-to-noise ratio Satellite ephemeris Spectral radiance
2015/8/28
With ever increasing demand for accurate radiance values and high signal to noise ratio (SNR), new strategies need to be employed
for optimal operations of space-borne sensors. The optimal operations...
A NO-REFERENCE PERCEPTUAL BLUR METRIC USING HISTOGRAM OF GRADIENT PROFILE SHARPNESS
image quality assessment blur metric gradient profile just noticeable distortion
2013/7/16
No-reference measurement of blurring artifacts in images is a challenging problem in image quality assessment field. One of the difficulties is that the inherently blurry regions in some natural image...
Histogram of Intensity Feature Extraction for Automatic Plastic Bottle Recycling System Using Machine Vision
Bounding box image region of interest histogram of intensity plastic recycling
2009/1/14
Currently, many recycling activities adopt manual sorting for plastic recycling that relies on plant personnel who visually identify and pick plastic bottles as they travel along the conveyor belt.
Dynamic Background Subtraction Based on Local Dependency Histogram
Dynamic Background Subtraction Local Dependency Histogram
2010/12/17
Traditional background subtraction methods perform poorly when scenes contain dynamic backgrounds such as waving tree, spouting fountain, illumination changes, camera
jitters, etc. In this paper, a n...
A No-reference Perceptual Blur Metric Using Histogram of Gradient Profile Sharpness
No-reference Perceptual Blur Metric Histogram of Gradient Profile Sharpness
2010/12/20
No-reference measurement of blurring artifacts in images is a challenging problem in image quality assessment field.One of the difficulties is that the inherently blurry regions in
some natural image...
Dynamic Background Subtraction Based on Local Dependency Histogram
Dynamic Background Subtraction Local Dependency Histogram
2013/7/17
Traditional background subtraction methods perform poorly when scenes contain dynamic backgrounds such as waving tree, spouting fountain, illumination changes, camera jitters, etc. In this paper, a no...
Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition
Gabor Phase Patterns Representation Approach Face Recognition
2010/12/16
A novel object descriptor, histogram of Gabor phase pattern (HGPP), is proposed for robust face recognition. In HGPP,the quadrant-bit codes are first extracted from faces based on the
Gabor transform...
Object detection using spatial histogram features
Object detection spatial histogram features
2010/12/16
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, they can preserve textu...
Learning Informative Features for Spatial Histogram-Based Object Detection,
Informative Features Spatial Histogram-Based Object Detection
2010/12/15
Abstract—Feature extraction for object representation plays an important role in automatic object detection system. As the spatial histograms consist of marginal distribution of image
over local pat...
Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition
Local Gabor Binary Pattern Histogram Sequence Novel Non-Statistical Model
2010/12/15
For years, researchers in face recognition area have been representing and recognizing faces based on subspace discriminant analysis or statistical learning.Nevertheless, these approaches are always s...