Intensity-Hue-Saturation (IHS), Brovey Transform (BT), and Smoothing-FilterBased-Intensity Modulation (SFIM) algorithms were used to pansharpen GeoEye-1 imagery. The pansharpened images were then segmented in Berkeley Image Seg using a wide range of segmentation parameters, and the spatial and spectral accuracy of image segments was measured. We found that pansharpening algorithms that preserve...

Affected by solar radiation, atmospheric windows, radiation aberrations, and other air sky environmental factors, remote sensing images usually contain a large amount of noise suffer from problems such as non-uniform image feature density. These bring great difficulties to the segmentation high-precision image. To improve effect images, this study adopted an improved metaheuristic algorithm opt...

introduction the increasing use of satellite remote sensing data for civilian use has proved to be the most cost-effective means of mapping and monitoring for environmental changes. satellite remote sensing has played a pivotal role in finding forest cover, vegetation type and land use changes in urban areas. one of the most complete of these methods is classification. the conventional per-pixe...

Pansharpening aims to obtain high spatial resolution multispectral (MS) images by fusing the and spectral information in low (LR) MS panchromatic (PAN) images. Recently, deep neural network (DNN) based pansharpening methods have been advanced extensively. Although most DNN-based show good performance, it is difficult for them preserve details fused image. In this article, we propose a new metho...

In order to acquire a high resolution multispectral (HRMS) image with the same spectral as (MS) and spatial panchromatic (PAN) image, pansharpening, typical hot fusion topic, has been well researched. Various pansharpening methods that are based on convolutional neural networks (CNN) different architectures have introduced by prior works. However, scale information of source images is not consi...

This paper outlines land-use/landscape pattern changes and relationships between land-use change trajectories environmental variables in the Dong ethnic-minority village of Gaoyou southwestern China. In study, landscape metrics were applied to evaluate land use patterns using GeoEye-1 satellite imagery for 2009/2020 drone 2019, redundancy analysis (RDA) was clarify relationship variables. The 1...