搜索结果: 1-15 共查到“测绘科学技术 Multi-spectral”相关记录23条 . 查询时间(0.155 秒)
ON-LINE CHANGE MONITORING WITH TRANSFORMED MULTI-SPECTRAL TIME SERIES,A STUDY CASE IN TROPICAL FOREST
Multi-Spectral BFAST Dimension Reduction Deforestation Monitor
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2016/11/24
In recent years, the methods for detecting structural changes in time series have been adapted for forest disturbance monitoring using satellite data. The BFAST (Breaks For Additive Season and Trend) ...
MULTI-SPECTRAL REMOTE SENSING IMAGE RETRIEVAL BASED ON K-L TRANSFORMATION
Multi-spectral Remote Sensing Image Image Retrieval Spectral Characteristics K-L Transformation Annular Histogram
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2016/3/17
Along with the rapid development of remote sensing technology, remote sensing images have been used in more and more fields. How to retrieval the images rapidly and effectively from the giganticdataba...
A NOVEL IMAGE FUSION METHOD FOR MULTI-SPECTRAL AND HIGH-RESOLUTION PANCHROMATIC IMAGES
Image Fusion Multi-Source Images Spectral Distortion Spectral Preservation Spatial Resolution SAO
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2016/3/17
How to greatly benefit form a variety of remote sensing data has become a bottle-neck problem in application of remote sensing. As an image has high spectral resolution, but relatively lower spatial r...
MULTI-SPECTRAL IMAGE FUSION METHOD BASED ON WAVELET TRANSFORMATION
Image fusion Wavelet transform Weighting average Threshold Characteristic of human vision system
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2015/12/31
The paper focuses on image fusion between multi-spectral images and panchromatic images using a wavelet analysis method with good signal processing and image processing traits. A new weighting techniq...
AN IMPROVED IHS FUSION METHOD FOR MERGING MULTI-SPECTRAL AND PANCHROMATIC IMAGES CONSIDERING SENSOR SPECTRAL RESPONSE
image processing sharpening image fusion intensity-hue-saturation (IHS) transform spectral response
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2015/12/31
While many remote sensing and GIS applications require both the spatial resolution and spectral resolution be high, image fusion, or in other words, image sharpening, is a useful technique. To date, n...
Spatial Road Network Extraction from Multi Spectral Remote Sensing Images with FCD
Local Moran’s I statistics Floating Car Data (FCD)
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2015/12/9
This paper presents an automatic methodology for spatial road network extraction from multi spectral remote sensing images with floating car data. Basically, it can be divided into two steps. In the f...
Automated Updating of Building Data Bases from Digital Surface Models and Multi-Spectral Images: Potential and Limitations
Change Detection Digital Surface Models Data Fusion
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2015/12/4
A method for automatic updating of building data bases from Digital Surface Models (DSM) and a normalised difference vegetation index is evaluated. The DSM can be generated from Airborne Laserscanner ...
ORTHO-RECTIFICATION OF NARROW BAND MULTI-SPECTRAL IMAGERY ASSISTED BY DSLR RGB IMAGERY ACQUIRED BY A FIXED-WING UAS
Ortho-rectification Band-to-band registration Projective transformation
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2015/9/10
Miniature Multiple Camera Array (MiniMCA-12) is a frame-based multilens/multispectral sensor composed of 12 lenses with narrow band filters. Due to its small size and light weight, it is suitable to m...
MAPPING CORAL REEF HABITAT OF SOUTH ANDAMAN: A COMPARATIVE ANALYSIS OF DIFFERENT MULTI-SPECTRAL DATA SETS
Coral Reefs Multispectral Data Sets Depth Invariant Bottom Index
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2015/8/28
Coral reefs are considered one of the most diverse, productive and sensitive ecosystems among the various ecosystems existing today.
They are usually found in clear waters and often amenable to optic...
Mapping of Optical Parameters of Aerosols over Land using Multi-Spectral IRS-P4 OCM Sensor Data
Atmospheric aerosol parametric aerosol models Spatial Mapping
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2015/8/28
A methodology has been developed for modeling and mapping various aerosol parameters using the IRS-P4 Ocean Color
Monitoring [OCM] multi-spectral data having wide swath of 1420 km and high (360 m) sp...
Classification of multi spectral images by fuzzy and neural network approaches
fuzzy classification minimum distance maximum likelihood
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2015/8/20
Extraction of information from satellite images, due to better cost & time consumption, all times accessibility and vast area of
coverage, is seen as one solution for countries have no overall maps [...
MULTI-SPECTRAL IMAGE ANALYSIS BASED ON DYNAMICAL EVOLUTIONARY PROJECTION PURSUIT
multi-spectral image projection pursuit dynamical evolutionary algorithm
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2015/8/10
Principal component analysis (PCA) is usually used for compressing information in multivariate data sets by computing orthogonal projections that maximize the amount of data variance. PCA is effective...
Automating Interpretation of Geological Structures from Landsat Tm Multi-spectral Images and Dems
nterpretation Extraction Classification
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2015/7/9
In this study using the Idrisi software system, a methodology for jointly analyzing and interpreting multi-spectral images and DEMs
for extracting structural-geology features is given. In analyzing a...
Classification of Multi-spectral, Multi-temporal And Multi-sensor Images Using Principal Components Analysis and Artificial Neural Networks: Beykoz Case
Land Cover Classification Artificial Neural Networks
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2015/7/9
The thematic maps derived from remotely-sensed images are invaluable sources of information for various investigations since they
provide spatial and temporal information about the nature of Earth su...
AUTOMATIC LINEAR FEATURE EXTRACTION OF IRANIAN ROADS FROM HIGH RESOLUTION MULTI-SPECTRAL SATELLITE IMAGERY
Extraction Fuzzy Logic IKONOS
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2015/6/2
Attaining geospatial information is a challenge for many scientific practitioners. Such information is a necessary tool for spatial
decision making. Remote Sensing (RS) is the leading art/science pr...