This article gives a brief overview of various aspects of data mining of multispectral image
data. We focus on specifically the remote sensing satellite images acquired using …

Multispectral pedestrian detection based on deep learning can provide a robust and
accurate detection under different illumination conditions, which has important research …

This paper proposes a novel deep learning model called deep multi-scale network (DMSN)
for background subtraction. This convolutional neural network is built to use RGB color …

In this paper, we propose a framework for improving Background Subtraction techniques.
This framework is based on two types of data, RGB and Depth. Our study stands for …

摘要针对帧间差分算法中对于红外舰船目标特征提取不充分的问题, 提出了一种改进的红外舰船
目标检测算法. 将两帧图像进行帧间差分后通过Ostu 进行阈值分割, 获得二值图像进行形态学 …

Through the analysis of the application and development of deep learning in the field of
book design and publishing, the article expounds on the positive impact of deep learning on …

Shadow removal is an important issue in the field of motion object surveillance and
automatic control. Although many works are concentrated on this issue, the diverse and …

摘要为实现自主水下航行器(AUV) 编队航行, 提出一种基于粒子群(PSO) 的编队航路规划算法.
编队航路规划可拆分为具有队形约束的多航路规划和无队形约束的协同航路规划的两个步骤 …

This thesis is targeting the Moving Object Detection topic, more specifically, the Background
Subtraction. In this study, we proposed two approaches using color and depth information to …

This article gives a brief overview of various aspects of data mining of multispectral image
data. We focus on specifically the remote sensing satellite images acquired using …