Results 1 to 10 of about 125,098 (262)

The potential of Pléiades imagery for vegetation mapping: an example of grasslands and pastoral environments

open access: yesRevue Française de Photogrammétrie et de Télédétection, 2014
Nowadays the use of remote sensing for vegetation mapping over large areas is becoming progressively common, with the increase of satellites providing a good trade-off between metric spatial resolution and large swath (e.g. Spot 5, RapidEye).
Vincent Thierion   +5 more
doaj   +1 more source

Classification of color textures with random field models and neural networks

open access: yesJournal of Computer Science and Technology, 2005
A number of texture classification approaches have been developed in the past but most of these studies target graylevel textures. In this work, novel results are presented on Neural Network based classification of color textures in a very large ...
Orlando J. Hernandez   +4 more
doaj  

Estimating Winter Wheat Leaf Water Content by Combining UAV Spectral and Texture Features with Stacking Ensemble Learning

open access: yesAgronomy
Leaf water content (LWC) is a vital physiological indicator reflecting crop water status, crucial for precision irrigation and water management. Traditional monitoring methods are labor-intensive and costly, while unmanned aerial vehicle (UAV) remote ...
Xingjiao Yu   +9 more
doaj   +1 more source

结合纹理和形态学特征的高分遥感影像建筑物震害信息提取

open access: yesDizhen xuebao, 2019
为提高震害信息获取时效性,对基于我国国产高分遥感影像的建筑物震害信息提取方法进行深入研究,本文以2017年5月11日新疆塔县MS5.5地震为例,利用该地震前后极灾区高分遥感影像,利用结合纹理和形态学特征的方法进行了建筑物震害信息提取,通过变化检测分析获取了极灾区建筑物震害信息,并与基于像元级和基于目标级的信息提取结果进行对比,采用震后无人机影像目视解译结果对本文结果进行了精度验证。结果表明:通过缩减研究区范围可大力提高数据提取精度和速度;运用灰度共生矩阵、二值化、数学形态学等方法对影像进行迭代运算 ...
Jinxiang Li   +4 more
doaj   +1 more source

Accurate Estimation of Spring Maize Aboveground Biomass in Arid Regions Based on Integrated UAV Remote Sensing Feature Selection

open access: yesAgronomy
Maize is one of the top three crops globally, ranking only behind rice and wheat, making it an important crop of interest. Aboveground biomass is a key indicator for assessing maize growth and its yield potential.
Fengxiu Li   +8 more
doaj   +1 more source

Classifying smoke in laparoscopic videos using SVM

open access: yesCurrent Directions in Biomedical Engineering, 2017
Smoke in laparoscopic videos usually appears due to the use of electrocautery when cutting or coagulating tissues. Therefore, detecting smoke can be used for event-based annotation in laparoscopic surgeries by retrieving the events associated with the ...
Alshirbaji Tamer Abdulbaki   +3 more
doaj   +1 more source

The Best Texture Features for Leukocytes Recognition

open access: yesJournal of Medical Signals and Sensors, 2017
Background: Differential counting of white blood cells (WBCs or leukocytes) is a common task to diagnose many diseases such as leukemia, and infections. An accurate process for recognizing leukocytes is to evaluate a blood smear under a microscope by an ...
Omid Sarrafzadeh   +4 more
doaj   +1 more source

Fast Watershed Segmentation for Breast Cancer Detection

open access: yesInternational Transactions on Electrical Engineering and Computer Science, 2022
Within engineering and computer specializations, image processing is the most important study topic. It is one of today's fastest-growing technologies, with applications in a variety of biological sectors, including cancer sickness.
Sk. Nazma Sultana   +2 more
doaj  

The Goertzel Algorithm for the Extraction of Texture Features

open access: yesIEEE Robotics and Automation Letters
The detection of the properties of objects is essential to deal with the manipulation of objects with artificial hands and grippers. In particular, texture detection is a common challenge in robotics. In the quest for smooth and natural manipulation, response times in the order of milliseconds are needed.
Raúl Lora-Rivera   +3 more
openaire   +3 more sources

Estimation of Cotton Above-Ground Biomass Based on Fusion of UAV Spectral and Texture Features

open access: yesAgronomy
Cotton above-ground biomass (AGB) is a key indicator of crop growth and yield potential. Traditional monitoring methods are labor-intensive and destructive, limiting their suitability for precision agriculture.
Guldana Sarsen   +14 more
doaj   +1 more source

Home - About - Disclaimer - Privacy