According to the performances of different deep neural network models on different data sets, the Google Inception V3 depth network model is used as the prototype to conduct the tuning of training parameters, and the classification of remote sensing images is then realized with this model in the ...
each image is first decomposed by a bank of multiscale-oriented Gaborfilters(set to 8 orientations and 4 different scales as the original work .The result of each filter is then averaged over 16 non-overlapping regions arranged on a 4×4 grid. The resulting image representation is a 512 di...
遥感分类,remote sensing... ... )remote sensing classification遥感分类) Classification of remote sensing 遥感分类 ... www.dictall.com|基于 1 个网页 例句 释义: 全部,遥感分类 更多例句筛选 1. Spectralinformationcontainedinhyper-spectralimagehavegreatvalueinremotesensingclassificationandrecognition. ...
Earth Observation data is of great interest for aSamuel Andrés aDamien Arvor a bIsabelle Mougenot aThérèse Libourel aLaurent Durieux aComputers & GeosciencesAndres, S., Arvor, D., Mougenot, I., Libourel, T., and Durieux, L. 2017. Ontology-based classification of remote sensing images ...
Scene classification and recognition of remote sensing image is an important task for image interpretation.High-resolution remote sensing images have rich spatial texture features and semantic information,and their scene categories are diversified.As a r
This paper presents an analysis of active learning techniques for the classification of remote sensing images and proposes a novel active learning method based on support vector machines (SVMs). The proposed method exploits a query function for the inclusion of batches of unlabeled samples in the tr...
high-resolutionremote sensing (HRRS) images are increasingly available. Meanwhile, multi-source and multi-temporal RS images can be obtained over different geographical areas (Moser et al., 2013). Such large amount of heterogeneous HRRS images provide detailed information of the land surface, and ...
Based on analyzing the distribution characteristics of different samples of remote sensing images, a novel Reduced Parallel Neural Network (RPNN) classifier for remote sensing image classification is presented. In order to improve the dynamic performance, the whole network consists of many similar atom...
With higher spatial resolution, the image classification of remote sensing is always a hot research field. Besides spectral information, texture information from remote sensing image of higher spatial resolution has become an important data source to improve the classification accuracy. The image classific...
[1] X. Yang, S. Hao, K. Fu, J. Yang, S. Xian, M. Yan, and G. Zhi, Automatic ship detection in remote sensing images from Google earth of complex scenes based on multiscale rotation dense feature pyramid networks [2] M. Liao, B. Shi, and X. Bai, TextBoxesCC: A single-sho...