搜索结果: 1-8 共查到“物理大地测量学 Detection”相关记录8条 . 查询时间(0.203 秒)
DETECTION AND DISCRIMINATION OF THE THICK OIL PATCHES ON THE SEA SURFACE
Oil slick thickness offshore slick SWIR VNIR optical multispectral data hyperspectral characterization reflectance spectra
2016/11/30
Detection of natural or accidental oil slick at sea surface is important both for exploration purposes and for environment protection. Radar imagery, either satellite or airborne is the prime tool to ...
ANOMALY IDENTIFICATION FROM SUPER-LOW FREQUENCY ELECTROMAGNETIC DATA FOR THE COALBED METHANE DETECTION
Electromagnetic Super Low Frequency Coalbed Methane non-Gaussian Class B model Least Square Gradient Adaptive filter
2016/11/30
Natural source Super Low Frequency(SLF) electromagnetic prospecting methods have become an increasingly promising way in the resource detection. The capacity estimation of the reservoirs is of great i...
EFFICIENT DETECTION OF ANOMALIES IN HYPERSPECTRAL IMAGES
Hyperspectral Target detection Anomaly detection RX algorithm ROC
2015/12/30
By reason of recent advances in airborne and ground-base hyperspectral imaging technology, many applications have been developed. One of the most important hyperspectral images applications involves a...
CHANGE DETECTION OF FOREST CROWN CLOSURE USING AN INVERTED GEOMETRIC-OPTICAL MODEL AND SCALING
Change detection Forest crown closure Geometric-optical model Scaling MODIS Three Gorges region
2015/12/30
The physical based Li-Strahler geometric-optical model can be inverted to retrieve forest canopy structural variables. One of the main input variables of the inverted model is the fractional component...
PASSIVE ULTRA-LOW FREQUENCY ELECTROMAGNETIC DETECTION TECHNOLOGY FOR COAL BED METHANE AND ITS APPLICATION
Ultra-Low Frequency Electromagnetic Wave CBM Exploration Geophysical Method
2015/12/29
Based on analysis of the significance of the coal bed methane exploration and development and the deficiency of the conventional coal bed methane exploration methods, the paper proposes a new technolo...
OBJECT-BASED CLASSIFICATION OF INTEGRATED MULTISPECTRAL AND LIDAR DATA FOR CHANGE DETECTION AND QUALITY CONTROL IN URBAN AREAS
Change Detection classification quality control multispectral LIDAR
2015/8/3
Digital spatial data are underlying strong temporal changes. The typical approach of updating these changes is to check the data manually by superimposing them on up-to-date orthoimages from aerial or...
IMPROVING LINEAR SPECTRAL UNMIXING THROUGH LOCAL ENDMEMBER DETECTION
Hyperspectral Data Set Local Linear Spectral Unmixing (LLSU) Maximum Likelihood Classification (MLC)
2015/4/1
There are a considerable number of mixed pixels in remotely sensed images. Different sub-pixel analyses have been recently developed correspondingly. A well-known method is linear spectral unmixing wh...
Target detection algorithm for airborne thermal hyperspectral data
Thermal Hyperspectral LWIR (Long Wave Infrared) Constrained Energy Minimization (CEM) Minimum Noise Fraction (MNF)
2014/12/15
Airborne hyperspectral imaging is constantly being used for classification purpose. But airborne thermal hyperspectral image usually is a challenge for conventional classification approaches. The Telo...