搜索结果: 1-14 共查到“传感器技术 the data”相关记录14条 . 查询时间(0.39 秒)
PAN SHARPENING USING RELATIVE SPECTRAL RESPONSE OF SENSOR FOR CARTOSAT-1 PAN AND RESOURCESAT LISS-4 MX DATA
PAN sharpening Relative Spectral response (RSR) Curvelet transform Spectral distortion Spectral fidelity
2019/2/28
Most of the Indian remote sensing systems, provide sensors with one high spatial resolution panchromatic (PAN) and several multispectral (MS) bands. An increasing number of applications, such as featu...
APPLICABILITY ASSESSMENT OF UAVSAR DATA IN WETLAND MONITORING: A CASE STUDY OF LOUISIANA WETLAND
Wetland Monitoring UAVSAR Polarimetric Synthetic Aperture Radar (PolSAR) Interfometric Synthetic Aperture Radar (InSAR)
2018/5/16
Wetlands are highly productive and support a wide variety of ecosystem goods and services. Monitoring wetland is essential and potential. Because of the repeat-pass nature of satellite orbit and airbo...
A NEW PROCESS-ORIENTED AND SPATIOTEMPORAL DATA MODEL FOR GIS DATA
Spatiotemporal data model Simulation for dynamic process Event-driven model
2018/5/15
With the rapid development of wireless sensor and information technology, there is a trend of transition from "digital monitoring" to "intelligence monitoring" advancing process. The traditional model...
THIN ICE AREA EXTRACTION IN THE SEASONAL SEA ICE ZONES OF THE NORTHERN HEMISPHERE USING MODIS DATA
Sea Ice Optical Sensor Global Warming Glaciology
2018/5/14
Sea ice has an important role of reflecting the solar radiation back into space. However, once the sea ice area melts, the area starts to absorb the solar radiation which accelerates the global warmin...
Rapid Disaster Mapping through Data Integration from UAVs and Multi-sensors Mounted on Investigation Platforms of NDMI, Korea
Rapid Disaster Mapping Data Integration UAVs MMS Multi-sensors
2018/4/18
As the recent disaster is so difficult to predict when and where it would hit, so it requires paradigm for disaster shifts from response to preparedness. In order to respond this change, NDMI has stud...
Rapid Disaster Mapping through Data Integration from UAVs and Multi-sensors Mounted on Investigation Platforms of NDMI, Korea
Rapid Disaster Mapping Data Integration UAVs MMS Multi-sensors
2018/5/8
As the recent disaster is so difficult to predict when and where it would hit, so it requires paradigm for disaster shifts from response to preparedness. In order to respond this change, NDMI has stud...
URBAN DATA COLLECTION USING A BIKE MOBILE SYSTEM WITH A FOSS ARCHITECTURE
Low cost sensors Urban area 3D model Raspberry system Python GNSS
2017/8/10
European community is working to improve the quality of the life in each European country, in particular to increase the quality air condition and safety in each city. The quality air is daily monitor...
LEAF AREA INDEX RETRIEVAL USING IRS LISS-III SENSOR DATA AND VALIDATION OF MODIS LAI PRODUCT OVER INDIA
Remote Sensing Crop IRS Retrieval Comparison
2015/7/29
This paper reports results of an experiment LRVE (Leaf Area Index Retrieval and Validation Experiment) that was conducted over
agricultural areas of Central India during winter season of 2001-02, ai...
Fault Estimation and Monitoring with Multi-Sensor Data Fusion: An Unscented Kalman Filter Approach
Index Terms—Fault monitoring fault estimation unscented Kalman filter
2015/7/22
Abstract— In this paper, an unscented Kalman filter (UKF) is proposed in an integrated design frameworks to utilize multi-sensor data fusion techniques for process fault monitoring. The multi-sensor d...
Energy-Delay Tradeoffs for Data Collection in TDMA-based Sensor Networks
TDMA-based Sensor Networks Data Collection
2015/6/19
We consider a wireless sensor network where the nodes have limited energy. We first analyze the delay performance of a transmission scheme based on time division multiple access (TDMA). We propose a s...
The Impact of Multi-Sensor Data Assimilation on Plant Parameter Retrieval and Yield Estimation for Sugar Beet
yield modelling crop growth model PROMET
2015/5/6
Yield Maps are a basic information source for site-specific farming. For sugar beet they are not available as in-situ measurements. This gap of information can be filled with Earth Observation (EO) ...
A NEW OBJECT BASED METHOD FOR AUTOMATED EXTRACTION OF URBAN OBJECTS FROM AIRBORNE SENSORS DATA
Classification LIDAR Aerial Image Segmentation Urban Vegetation Building
2014/4/28
The classification of urban objects such as buildings, trees and roads from airborne sensors data is an essential step in numerous mapping and modelling applications. The automation of this step is gr...
MANHOLE COVER DETECTION USING VEHICLE-BASED MULTI-SENSOR DATA
cover detection matching edge detection manhole cover multi-sensor
2014/4/28
A new method combined wit multi-view matching and feature extraction technique is developed to detect manhole covers on the streets using close-range images combined with GPS/IMU and LINDAR data. The ...
Gas Chromatography Data Classification Based on Complex Coefficients of an Autoregressive Model
Gas Chromatography Data Classification Complex Coefficients Autoregressive Model
2009/9/7
This paper introduces autoregressive (AR) modeling as a novel method to classify outputs from gas chromatography (GC). The inverse Fourier transformation was applied to the original sensor data, and t...