Mixed Metric Random Forest for Dense Correspondence of Cone-Beam Computed Tomography ImagesCBCTMMRFdense correspondenceEfficient dense correspondence and registration of CBCT images is an essential yet challenging task for inter-treatment evaluations of structural variations. In this paper, we propose an ...
Age and density (basal area (BA)) were underestimated for large, old, dense forest and overestimated for small, young, open forest. While accuracy of responses for density, tree size, and age of forest plot images was low, the ordering of such images by these attributes did correspond to ...
Although much attention has been given to forest protection, large areas of forests are diminishing in tropical regions in monsoon Asia (see Supplementary Fig. S2), as highly dense, poor populations depend on forests and other local natural ecosystems7. Agricultural land expansion via deforestation ...
摘要: We are interested in recovering dense surface patches from large sets (1000's) of pose images (images annotated with absolute position and orientation) acquired from arbitrary locations within the scene. Previously we reported progress towards this goal 被引量: 6 年份: 1998 收藏...
Forest aboveground biomass (AGB) estimation modeling based on remote sensing is an important method for large-scale biomass estimation; the accuracy of the estimation models has been a topic of broad and current interest. In this study, we used permanent sample plot data and Landsat 8 Operational...
A forest made of fore-edges. A raft made of spines and its sail a book page. A wave and a path made of excerpts from books. In this fabulous world made from the features of books, the simpatico imaginations of Oliver Jeffers and Sam Winston deliver a heroine and an invitation that are...
algorithms: Random Forest which computes Gini impurity to identify the most important features29; forward sequential feature selection algorithm30, which selected features over the training set during cross validation until there is no improvement in prediction of an SVM classifier over the same training...
Steppes are mainly distributed in the central and eastern parts of Mongolia. The Gobi Desert is mainly distributed in the southwest, where vegetation is sparse and rare. Mongolia’s forest and steppe areas account for 7% and 42% of the total area of the country, respectively (Wang et al.,...
These refined features are highly associated with image quality and were used to generate models by random forest (RF) in Matlab. The rest, 30% of the primary dataset, was used to test the performance of models. After internal portion testing and the model built, we also applied a tenfold...
Four prediction models, including LightGBM28, random forest29, single-network DNN (sDNN), and two-subnetwork DNN (tDNN), were included for the comparison. LightGBM is an implementation of the gradient boosting decision tree algorithm that uses techniques of gradient-based one-side sampling and ...