A study for texture feature extraction of high-resolution satellite images based on a direction measure and gray level co-occurrence matrix fusion algorithm
X Zhang, J Cui, W Wang, C Lin - Sensors, 2017 - mdpi.com
To address the problem of image texture feature extraction, a direction measure statistic that
is based on the directionality of image texture is constructed, and a new method of texture …
is based on the directionality of image texture is constructed, and a new method of texture …
Quantifying urban land sprawl and its driving forces in Northeast China from 1990 to 2015
Drastic urbanization has resulted in numerous problems worldwide, and many studies were
devoted to individual cities. There is an urgent need to quantify urbanization patterns and …
devoted to individual cities. There is an urgent need to quantify urbanization patterns and …
Sentinel-2 影像多特征优选的黄河三角洲湿地信息提取
张磊, 宫兆宁, 王启为, 金点点, 汪星 - 遥感学报, 2021 - ygxb.ac.cn
以北方典型河口湿地—黄河三角洲湿地为研究区, 采用在特征选择和分类提取等方面具有明显
优势的随机森林算法, 对研究区内的湿地信息进行提取. 首先基于多时相, 光谱信息丰富的 …
优势的随机森林算法, 对研究区内的湿地信息进行提取. 首先基于多时相, 光谱信息丰富的 …
Qualitative rating of lossy compression for aerial imagery by neutrosophic waspas method
R Bausys, G Kazakeviciute-Januskeviciene - Symmetry, 2021 - mdpi.com
The monitoring and management of consistently changing landscape patterns are
accomplished through a large amount of remote sensing data using satellite images and …
accomplished through a large amount of remote sensing data using satellite images and …
Learning-based colorization of grayscale aerial images using random forest regression
DK Seo, YH Kim, YD Eo, WY Park - Applied Sciences, 2018 - mdpi.com
Image colorization assigns colors to a grayscale image, which is an important yet difficult
image-processing task encountered in various applications. In particular, grayscale aerial …
image-processing task encountered in various applications. In particular, grayscale aerial …
Urban Vegetation Classification for Unmanned Aerial Vehicle Remote Sensing Combining Feature Engineering and Improved DeepLabV3+
Q Cao, M Li, G Yang, Q Tao, Y Luo, R Wang, P Chen - Forests, 2024 - mdpi.com
Addressing the problems of misclassification and omissions in urban vegetation fine
classification from current remote sensing classification methods, this research proposes an …
classification from current remote sensing classification methods, this research proposes an …
Design of forest fire identification algorithm based on computer vision.
K Liu, Y Wei, J Xu, Y Zhao, Z Cai - 2018 - cabidigitallibrary.org
In order to solve the problems of forest fire monitoring system, such as large amount of data,
high dimension and poor real time, a support vector machine based on computer vision is …
high dimension and poor real time, a support vector machine based on computer vision is …
Versatile loitering detection based on non-verbal cues using dense trajectory descriptors
S Arivazhagan - Multimedia Tools and Applications, 2019 - Springer
Loitering analytics is widely explored nowadays since it anticipates crimes by identifying
suspicious behavioural pattern displayed by offenders and reacts to the circumstances …
suspicious behavioural pattern displayed by offenders and reacts to the circumstances …
基于计算机视觉的森林火灾识别算法设计.
刘凯, 魏艳秀, 许京港, 赵永政, 蔡志勇 - Forest Engineering, 2018 - search.ebscohost.com
为解决森林火灾监测系统中由于林火行为监测样本数据量大, 维数多导致监测误报率高,
实时性差等问题, 提出一种基于计算机视觉的支持向量机算法进行森林火灾监测, 提升识别精度 …
实时性差等问题, 提出一种基于计算机视觉的支持向量机算法进行森林火灾监测, 提升识别精度 …
玉米大豆生长中后期遥感辨识的指示性特征研究.
沈宇, ****子, 杜鑫, 王红岩… - Journal of Remote …, 2022 - search.ebscohost.com
玉米和大豆是两种主要的粮食作物, 及时准确地监测两者的种植面积对于产量预测和市场价格的
制定具有重要的意义. 利用遥感技术探究在生长季中后期能有效区分玉米和大豆的指示性特征集 …
制定具有重要的意义. 利用遥感技术探究在生长季中后期能有效区分玉米和大豆的指示性特征集 …