搜索结果: 1-9 共查到“测绘科学技术 Random Forest”相关记录9条 . 查询时间(0.165 秒)
SALIENCY-GUIDED CHANGE DETECTION OF REMOTELY SENSED IMAGES USING RANDOM FOREST
Remote Sensing Change Detection Segmentation Super-pixel Saliency Random Forest
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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
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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 ...
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
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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
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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...
URBAN ROAD DETECTION IN AIRBONE LASER SCANNING POINT CLOUD USING RANDOM FOREST ALGORITHM
ALS Random Forest classification road detection
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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 ...
MODELING URBAN DYNAMICS USING RANDOM FOREST: IMPLEMENTING ROC AND TOC FOR MODEL EVALUATION
Random Forest Urban Growth Modelling Relative Operating Characteristics
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2016/7/8
The importance of spatial accuracy of land use/cover change maps necessitates the use of high performance models. To reach this goal, calibrating machine learning (ML) approaches to model land use/cov...
RANDOM FOREST AND OBJECTED-BASED CLASSIFICATION FOR FOREST PEST EXTRACTION FROM UAV AERIAL IMAGERY
Superpixel Simple Linear Iterative Cluster (SLIC) texture Forest Pest Random Forest unmanned aerial vehicle (UAV) aerial imagery
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2016/7/5
Forest pest is one of the most important factors affecting the health of forest. However, since it is difficult to figure out the pest areas and to predict the spreading ways just to partially control...
MERGING RANDOM FOREST CLASSIFICATION WITH AN OBJECT-ORIENTED APPROACH FOR ANALYSIS OF AGRICULTURAL LANDS
land use agriculture Landsat imagery segmentation Random Forest
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2015/12/31
Machine learning algorithms recently have made major advances, with decision tree classifiers gaining wide acceptance. Boosting and bagging of decision trees have added to the predictive capabilities ...
A NEW FRAMEWORK FOR OBJECT-BASED IMAGE ANALYSIS BASED ON SEGMENTATION SCALE SPACE AND RANDOM FOREST CLASSIFIER
Segmentation Scale parameter Object-based Image Analysis Land Cover Classification
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2016/1/15
In this paper a new object-based framework is developed for automate scale selection in image segmentation. The quality of image objects have an important impact on further analyses. Due to the strong...