搜索结果: 1-15 共查到“测绘科学技术 Sub-Pixel”相关记录19条 . 查询时间(0.125 秒)
2D Sub-Pixel Disparity Measurement Using QPEC/Medicis
2D Stereo Matching Sub-pixel Disparity Geometric Calibration QPEC Medicis
2016/7/4
In the frame of its earth observation missions, CNES created a library called QPEC, and one of its launcher called Medicis. QPEC / Medicis is a sub-pixel two-dimensional stereo matching algorithm that...
A NOVEL SUB-PIXEL MATCHING ALGORITHM BASED ON PHASE CORRELATION USING PEAK CALCULATION
Image Matching Phase Correlation Peak Calculation Window Constraint Correlation Coefficient
2016/7/4
The matching accuracy of homonymy points of stereo images is a key point in the development of photogrammetry, which influences the geometrical accuracy of the image products. This paper presents a no...
GRADIENT CROSS CORRELATION FOR SUB-PIXEL MATCHING
Correlation Matching Registration Fusion Multisensor
2015/12/31
Sub-pixel matching is one of the key components for image registration and image fusion. Ideally, image matching should allow for offsets in the target image, and for scaling and rotation. Offsets all...
CLASS BASED RATIOING EFFECT ON SUB-PIXEL SINGLE LAND COVER AUTOMATIC MAPPING
Sub-pixel Possibilistic c-Means (PCM) Image Ratioing Fuzzy Error Matrix (FERM)
2015/12/31
Sub-pixel based digital image classification outputs from coarse spatial resolution remote sensing images can be closer to ground information as compared to hard classification outputs. This has been ...
SOME ISSUES RELATED WITH SUB-PIXEL CLASSIFICATION USING HYPERION DATA
Hyperspectral Data Sub-pixel Mixed Pixels Support Vector Machine (SVM) Fuzzy Error Matrix (FERM)
2015/12/30
The most significant breakthrough in remote sensing has been the development of hyperspectral sensors. Due to the spectral resolution limitations of conventional multispectral remote sensing, hyperspe...
An Integrated Feature Based Method for Sub-Pixel Image Matching
Feature-Based Method Sub-pixel Accuracy Surface Fitting Image Matching
2015/11/24
Feature matching is to find the pair-wise corresponding features in the reference and sensed images. The features can be an edge, a corner, an end point, a line or a curve, etc. Image matching as the ...
analysis of artefacts in sub-pixel remote sensing image registration
Interpolation arifacts image registration disparity map similarity measure
2015/8/31
Sub-pixel accuracy image registration is needed for many applications. In order to achieve this accuracy, one uses image re-sampling.Since the image interpolation step is performed a high number of ti...
Statistical based algorithms, like Linear Mixture Model (LMM); Fuzzy Set Theory based algorithms, like Fuzzy c-means (FCM),
and Artificial Neural Network (ANN) based classification algorithms have be...
Determining the overburden dumps by sub-pixel method
Remote Sensing Environment Data Processing
2015/8/21
Delineation of overburden dumps by means of remotely sensed multispectral data with moderate spatial resolution (e.g. Landsat
TM/ETM+ 30m) is a challenging task. The major difficulties arise from: 1)...
A comparison of the performance of fuzzy algorithm versus statistical algorithm based sub-pixel classifier for remote sensing data
Fuzzy c-Means (FCM) Possibilistic c-Means (PCM) Maximum Likelihood Classifier (MLC)
2015/8/20
It is found that sub-pixel classifiers for classification of multi-spectral remote sensing data yield a higher accuracy. With this
objective, a study has been carried out, where fuzzy set theory base...
Profile based sub-pixel-classification of hemispherical images for solar radiation analysis in forest ecosystems
fisheye hemispherical images classification
2015/8/20
The analysis of classified hemispherical images of forest stands is a common method in forestry to determine site-related factors for
plants. A segmentation of hemispheric images, followed by an inte...
ESTIMATION OF SUB-PIXEL IMPERVIOUS SURFACES USING LANDSAT AND ASTER IMAGERY FOR ASSESSING URBAN GROWTH
Urban Landsat ASTER Imperviousness
2015/8/3
Urban development has expanded rapidly in the Las Vegas, Nevada metropolitan area over the last fifty years. Associated with this growth trend has been the transformation of the landscape from natural...
SUB-PIXEL AND MAXIMUM LIKELIHOOD CLASSIFICATION OF LANDSAT ETM+ IMAGES FOR DETECTING ILLEGAL LOGGING AND MAPPING TROPICAL RAIN FOREST COVER TYPES IN BERAU, EAST KALIMANTAN, INDONESIA
Su-pixel Maximum Likelihood Forest Detection
2015/7/30
The tropical forest is depleting at a fast rate due to deforestation and degradation. Illegal logging was reported to be the cause of 50%
of the deforestation. Illegal logging is a very pressing iss...
Unpaved roads are one of the most relevant causes of erosion process in rural regions. Locating unpaved roads in low-resolution
satellite images is not a trivial task. Although they have the spectra...
STEREO IMAGE MATCHING WITH SUB-PIXEL RESOLUTION
Image matching Orientation High-resolution data/images Edge extraction Accuracy
2014/12/30
The automation of processes of the in terior, relative and absolute orientation of stereo images requires so lving the problem of image matching. A modelf or image matching is proposed that is based o...