COMPARISON OF VARIABLE EXTRACTION METHODS USING SURFACE FIELD DATA AND ITS KEY INFLUENCING FACTORS: A CASE STUDY ON ABOVEGROUND BIOMASS OF PINUS DENSATA FOREST USING THE ORIGINAL BANDS AND VEGETATION INDICES OF LANDSAT 8

Insufficient sample data is a challenge when estimating forest aboveground biomass (AGB) using large-scale remote sensing.Extracting remote sensing information from sub-compartments could rectify such defects, but the corresponding method, its accuracy, and influencing factors still need to be clarified.We combined Landsat 8 data with a Pinus densa

While intestinal tumors are rare, Midtown Crossbody small intestinal lipomas are even more uncommon benign neoplasms.They are usually asymptomatic, but lipomas larger than 2 cm may become symptomatic due to obstruction, bleeding, or intussusception.In this paper, US and CT findings of a lipoma located in the terminal ileum and causing ileocecal int

In many applications, selecting the optimal features is a difficult task.Numerous In optimization problems, e.g., feature selection (FS) problem, have been solved using optimization algorithms.In this paper, the most discriminating features were Skirt chosen using a new chaotic gradient-based optimizer (CGBO) that combines chaotic maps with searchi