A REMOTE SENSING IMAGE FUSION METHOD COMBINING LOW-LEVEL VISUAL FEATURES AND PARAMETER-ADAPTIVE DUAL-CHANNEL PULSE-COUPLED NEURAL NETWORK

A Remote Sensing Image Fusion Method Combining Low-Level Visual Features and Parameter-Adaptive Dual-Channel Pulse-Coupled Neural Network

Remote sensing image fusion can effectively solve the inherent contradiction between spatial resolution and spectral resolution of imaging systems.At present, the fusion methods of remote sensing images based on multi-scale transform usually set fusion rules according to local feature information and pulse-coupled neural network (PCNN), but there a

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Boundary effects in the Marschak-Machina triangle

This paper presents the results Energy Drink of a study that sheds new light on the shape of indifference curves in the Marschak-Machina triangle.The most important observation, obtained non-parametrically, concerns jumps in indifference curves at the triangle legs towards the triangle origin.These jumps, however, do not appear at the hypotenuse.Th

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Assessing the Defoliation of Pine Forests in a Long Time-Series and Spatiotemporal Prediction of the Defoliation Using Landsat Data

Pine forests (Pinus tabulaeformis) have been in danger of defoliation by a caterpillar in the west Liaoning province of China for more than thirty years.This paper aims to assess and predict the degree of damage to pine forests by using remote sensing and ancillary data.Through regression analysis of the pine foliage remaining ratios of field Accen

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Key Functions of Automated Depot under TACS System

Objective Under TACS (train autonomous control system), the key functions of automated depot significantly impact train operational efficiency.It is essential to Edible Glitter study these critical functions in automated depot by focusing on the main depot operations in the context of TACS characteristics.Method The characteristics of TACS are anal

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