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One reason deep learning exploded over the last decade was the availability of programming languages that could automate the math — college-level calculus — that is needed to train each new model. Neu...
Putting clear bounds on uncertainty（图）
不确定性 界限 计算机科学 模糊图像
2023/6/20
In science and technology, there has been a long and steady drive toward improving the accuracy of measurements of all kinds, along with parallel efforts to enhance the resolution of images. An accomp...
IDENTIFICATION OF LOW ACCURACY REGIONS IN LAND COVER MAPS USING UNCERTAINTY MEASURES AND CLASSIFICATION CONFIDENCE
Multispectral images Classification Uncertainty Confidence Accuracy Spatial variation
2018/11/9
The aim of this article is to assess if the data provided by soft classifiers and uncertainty measures can be used to identify regions with different levels of accuracy in a classified image. To this ...
UNCERTAINTY IN LANDSLIDES VOLUME ESTIMATION USING DEMs GENERATED BY AIRBORNE LASER SCANNER AND PHOTOGRAMMETRY DATA
ALS Digital Elevation Model DoD Volume estimation landslide airborne sensor
2018/4/18
The purpose of this paper is to identify an approach able to estimate the uncertainty related to the measure of terrain volume generated after a landslide. The survey of the area interested of landsli...
UNCERTAINTY IN LANDSLIDES VOLUME ESTIMATION USING DEMs GENERATED BY AIRBORNE LASER SCANNER AND PHOTOGRAMMETRY DATA
ALS Digital Elevation Model DoD Volume estimation landslide airborne sensor
2018/5/8
The purpose of this paper is to identify an approach able to estimate the uncertainty related to the measure of terrain volume generated after a landslide. The survey of the area interested of landsli...
UNCERTAINTY ASSESSMENT AND WEIGHT MAP GENERATION FOR EFFICIENT FUSION OF TANDEM-X AND CARTOSAT-1 DEMS
Accuracy assessment Data fusion Predicted weight map Artificial Neural Network TanDEM-X DEM Cartosat-1 DEM
2017/7/13
Recently, with InSAR data provided by the German TanDEM-X mission, a new global, high-resolution Digital Elevation Model (DEM) has been produced by the German Aerospace Center (DLR) with unprecedented...
UNCERTAINTY ASSESSMENT OF GLOBELAND30 LAND COVER DATA SET OVER CENTRAL ASIA
GlobeLand30 land cover remote sensing accuracy Central Asia
2016/12/1
GlobeLand30, the world’s first 30m-resolution global land cover data set, has recently been issued for research on global change at a fine resolution. Given the accuracy of GlobeLand30 data may show s...
Influence of rainfall data on the uncertainty of flood simulation
calibration GLUE method model quality rainfall-runoff model
2016/8/2
The aim of this paper was to determine the influence of factors related to rainfall data on the uncertainty flood simulation. The calculations were based on a synthetic unit hydrograph NRCS-UH. Simula...
UNCERTAINTY PROPAGATION FOR TERRESTRIAL MOBILE LASER SCANNER
Mobile mapping Laser scanner Uncertainty propagation Error ellipsoid
2016/7/27
Laser scanners are used more and more in mobile mapping systems. They provide 3D point clouds that are used for object reconstruction and registration of the system. For both of those applications, un...
STUDY ON MODELING AND VISUALIZING THE POSITIONAL UNCERTAINTY OF REMOTE SENSING IMAGE
uncertainty remote sensing geometric correction
2016/7/8
It is inevitable to bring about uncertainty during the process of data acquisition. The traditional method to evaluate the geometric positioning accuracy is usually by the statistical method and repre...
Comparison of Uncertainty Between Traditional and Alternative Methods for Food Microbiological Analysis
Traditional and Alternative Food Microbiological Analysis
2016/6/2
The objectives highlighted in the present study were to determine the estimates of measurement uncertainty associated with microbiological analysis in food samples performing a gage repeatability and ...
Segmentation of remotely sensed images based on the uncertainty of multispectral classification
Segmentation remotely sensed images uncertainty multispectral classification
2016/5/20
Since the launch of high-resolution sensors, the use of satellite images as a major source of spatial information has been the subject of extensive research in a broad range of applications. In partic...
Data uncertainty in a hybrid GIS
Data Uncertainty Data Quality Hybrid GIS Raster-Vector-Conversion Polygon Overlay
2016/5/20
The paper presents a new approach for integrating data uncertainty into a hybrid GIS environment. Such a hybrid system can process raster data as well as vector data in an integrated manner taking unc...
RESEARCH ON THE VISUALIZATION SYSTEM AND APPLICATIONS OF UNCERTAINTY IN REMOTE SENSING DATA CLASSIFICATION
Remote Sensing Uncertainty Visualization IDL Multi-Classifier System
2015/12/23
Thematic mapping is one of the major application fields of remote sensing techniques. Data quality of the thematic data was concerned about. At present, there are a lot of researches that focus on the...
HYPERSPECTRAL IMAGES FOR UNCERTAINTY INFORMATION INTERPRETATION BASED ON FUZZY CLUSTERING AND NEURAL NETWORK
Uncertainty Information Fuzzy Clustering Feature Recognition Hyperspectral Understanding Neural Network
2015/12/23
Effective and understanding exploration of hyperspectral remote sensing data necessitates the development of sophisticated schemes that represent images. Such schemes ideally preserve and recognize si...