As a typical fine-grained image recognition task, flower category recognition is one of the
most popular research topics in the field of computer vision and forestry informatization …

In recent years, the development of instance segmentation has garnered significant attention
in a wide range of applications. However, the training of a fully-supervised instance …

Sawn timber is an important component material in furniture manufacturing, decoration,
construction and other industries. The mechanical properties, surface colors, textures, use …

[目的] 针对目前森林变化检测中高精度标签样本缺失或不足的问题, 提出一种基于全卷积神经
网络和低分辨率标签的森林变化检测方法, 旨在实现林地区域内森林变化的简易快速提取.[方法] …

ABSTRACT Meng, X.; Zhang, S., and Zang, S., 2019. Lake wetland classification based on
an SVM-CNN composite classifier and high-resolution images using Wudalianchi as an …

With the rapid development of intelligent image processing and computer vision, interpreting
and extracting emotion information from images have become a hot research topic …

To improve the classification accuracy in remote sensing image processing, this paper
proposes a remote sensing image classification method based on depth residual neural …

To improve model convergence speed and accuracy of the AlexNet model on high-
resolution remote sensing scene image classification, the Batch Normalization (BN) layer …

Extracting road information from high-resolution remote sensing images is an important way
to obtain basic data of geographic information. In this paper, firstly, the shortcomings of K …

Training with tank driving simulator is an important method to improve equipment operation
skills. In view of the deficiency that it is difficult to find knowledge and rules from complex …