搜索结果: 1-15 共查到“工学 Random”相关记录109条 . 查询时间(0.14 秒)
光电信息大讲堂第210期：From discovery of random Raman lasing via natural Rayleigh scattering in ultra-long fibers to unique lasing and sensing features of multimode and multicore fibers with fs-inscribed regular and random 3D refractive-index structures
拉曼光纤激光器 输出光束 折射率光纤
2023/4/17
在二极管泵浦的拉曼光纤激光器的多模渐变折射率光纤中，通过飞秒脉冲刻写FBG，可产生接近衍射极限的输出光束。这一技术已经应用于工业（通信、生物医学、材料加工、基础设施和能源行业）中的各种激光和传感器系统。从超长光纤自然瑞利散射引起的随机拉曼激光的发现出发，主讲人将介绍使用fs脉冲刻写具有规则/随机的3D折射率结构的多模、多芯光纤的技术，以及新型光纤所具有的独特激光和传感性能，这种新型光纤有望在物理上...
3D SEMANTIC LABELING OF ALS DATA BASED ON DOMAIN ADAPTION BY TRANSFERRING AND FUSING RANDOM FOREST MODELS
3D semantic labelling ALS data random forest domain adaption decision fusion
2018/5/15
Labeling 3D point cloud data with traditional supervised learning methods requires considerable labelled samples, the collection of which is cost and time expensive. This work focuses on adopting doma...
OBJECT-BASED RANDOM FOREST CLASSIFICATION OF LAND COVER FROM REMOTELY SENSED IMAGERY FOR INDUSTRIAL AND MINING RECLAMATION
Reclamation Area Classification of Land Use Random Forest Grid-search Object-based Multi-resolution Segmentation Multi-feature Variables
2018/5/11
The RF method based on grid-search parameter optimization could achieve a classification accuracy of 88.16 % in the classification of images with multiple feature variables. This classification ...
EXPLORING CAPABILITIES OF SENTINEL-2 FOR VEGETATION MAPPING USING RANDOM FOREST
Vegetation mapping Sentinel-2 Landsat-8 OLI Random Forest Maximum Likelihood Classifier
2018/5/15
Accurate vegetation mapping is essential for monitoring crop and sustainable agricultural practice. This study aims to explore the capabilities of Sentinel-2 data over Landsat-8 Operational Land Image...
LANDSLIDE INVENTORY MAPPING FROM BITEMPORAL 10 m SENTINEL-2 IMAGES USING CHANGE DETECTION BASED MARKOV RANDOM FIELD
Landslide Inventory Mapping Change Detection Normalized Difference Vegetation Index Principal Component Analysis Markov Random Field Sentinel-2 Images
2018/5/15
Landslide inventory mapping is essential for hazard assessment and mitigation. In most previous studies, landslide mapping was achieved by visual interpretation of aerial photos and remote sensing ima...
SALIENCY-GUIDED CHANGE DETECTION OF REMOTELY SENSED IMAGES USING RANDOM FOREST
Remote Sensing Change Detection Segmentation Super-pixel Saliency Random Forest
2018/5/14
Studies based on object-based image analysis (OBIA) representing the paradigm shift in change detection (CD) have achieved remarkable progress in the last decade. Their aim has been developing more in...
APPLYING RANDOM FOREST CLASSIFICATION TO MAP LAND USE/LAND COVER USING LANDSAT 8 OLI
Classification Landsat 8 OLI Land use Land cover Random Forest Decision Tree
2018/5/8
This study used the Random Forest classifier (RF) running in R environment to map Land use/Land cover (LULC) of Dak Lak province in Vietnam based on the Landsat 8 OLI. The values of two RF parameters ...
SEGMENTATION OF LARGE UNSTRUCTURED POINT CLOUDS USING OCTREE-BASED REGION GROWING AND CONDITIONAL RANDOM FIELDS
Segmentation Region Growing Conditional Random Fields Point Clouds
2018/3/5
Point cloud segmentation is a crucial step in scene understanding and interpretation. The goal is to decompose the initial data into sets of workable clusters with similar properties. Additionally, it...
BUILDING ROOF BOUNDARY EXTRACTION FROM LiDAR AND IMAGE DATA BASED ON MARKOV RANDOM FIELD
Markov Random Field LiDAR Aerial images Building roof boundary
2017/7/12
In this paper a method for automatic extraction of building roof boundaries is proposed, which combines LiDAR data and highresolution aerial images. The proposed method is based on three steps. In the...
RANDOM FOREST CLASSIFICATION OF SEDIMENTS ON EXPOSED INTERTIDAL FLATS USING ALOS-2 QUAD-POLARIMETRIC SAR DATA
Coastal Zones Surveillance SAR Polarimetric Decomposition Optical Channels Random Forest
2016/12/1
Coastal zones are one of the world’s most densely populated areas and it is necessary to propose an accurate, cost effective, frequent, and synoptic method of monitoring these complex ecosystems. Howe...
COMBINING SPECTRAL AND TEXTURE FEATURES USING RANDOM FOREST ALGORITHM: EXTRACTING IMPERVIOUS SURFACE AREA IN WUHAN
Impervious surface area Random forest Texture features
2016/11/23
Impervious surface area (ISA) is one of the most important indicators of urban environments. At present, based on multi-resolution remote sensing images, numerous approaches have been proposed to extr...
A METHOD TO ESTIMATE TEMPORAL INTERACTION IN A CONDITIONAL RANDOM FIELD BASED APPROACH FOR CROP RECOGNITION
Conditional Random Fields Crop Recognition Multitemporal Image Analysis
2016/11/23
This paper presents a method to estimate the temporal interaction in a Conditional Random Field (CRF) based approach for crop recognition from multitemporal remote sensing image sequences. This approa...
EFFICIENT SEMANTIC SEGMENTATION OF MAN-MADE SCENES USING FULLY-CONNECTED CONDITIONAL RANDOM FIELD
Man-made Scene Semantic Segmentation Fully Connected CRFs Mean Field Inference
2016/7/27
In this paper we explore semantic segmentation of man-made scenes using fully connected conditional random field (CRF). Images of man-made scenes display strong contextual dependencies in the spatial ...
CLOUD REMOVAL FROM SENTINEL-2 IMAGE TIME SERIES THROUGH SPARSE RECONSTRUCTION FROM RANDOM SAMPLES
Sentinel-2 Clouds Image Time Series Image processing Pre-processing
2016/7/27
In this paper we propose a cloud removal algorithm for scenes within a Sentinel-2 satellite image time series based on synthetisation of the affected areas via sparse reconstruction. For this purpose,...
URBAN ROAD DETECTION IN AIRBONE LASER SCANNING POINT CLOUD USING RANDOM FOREST ALGORITHM
ALS Random Forest classification road detection
2016/7/27
The objective of this research is to detect points that describe a road surface in an unclassified point cloud of the airborne laser scanning (ALS). For this purpose we use the Random Forest learning ...