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Determining rapeseed lodging angles and types for lodging phenotyping using morphological traits derived from UAV images
rapeseed lodging angles lodging phenotyping UAV images
2024/4/1
Crop lodging detrimentally affects crop yield and mechanical harvest efficiency. Traditional remote sensing-based methods primarily focus on the identification and area extraction of lodging using ima...
A robot manipulating objects while, say, working in a kitchen, will benefit from understanding which items are composed of the same materials. With this knowledge, the robot would know to exert a simi...
Researchers capture first atomic-scale images depicting early stages of particle accelerator film formation（图）
粒子加速器 薄膜形成 原子尺度图像
2023/5/17
New research from a team of scientists at the Center for Bright Beams has made significant strides in developing new techniques to guide the growth of materials used in next-generation particle accele...
Artificial intelligence (AI) plays an important role in many systems, from predictive text to medical diagnoses. Inspired by the human brain, many AI systems are implemented based on artificial neural...
The miseducation of algorithms is a critical problem; when artificial intelligence mirrors unconscious thoughts, racism, and biases of the humans who generated these algorithms, it can lead to serious...
Credit card-sized device focuses terahertz energy to generate high-resolution images（图）
设备聚焦 太赫兹能量 高分辨率图像
2023/6/9
Researchers have created a device that enables them to electronically steer and focus a beam of terahertz electromagnetic energy with extreme precision. This opens the door to high-resolution, real-ti...
Microscopy technique makes finer images of deeper tissue, more quickly（图）
显微镜技术 深层组织图像 大脑内血管 神经元
2023/6/19
To create high-resolution, 3D images of tissues such as the brain, researchers often use two-photon microscopy, which involves aiming a high-intensity laser at the specimen to induce fluorescence exci...
同济大学测绘与地理信息学院王群明教授课题组本科生在遥感领域顶级期刊《Remote Sensing of Environment》发表论文：Blocks-removed spatial unmixing for downscaling MODIS images（图）
同济大学 测绘与地理信息学院 王群明 教授 课题组 遥感领域 顶级期刊
2021/3/18
近日，同济大学测绘与地理信息学院王群明教授课题组在遥感领域顶级期刊《Remote Sensing of Environment》发表了1篇论文。本研究受到国家自然基金项目（41971297）资助。
QUALITY FEATURES FOR THE INTEGRATION OF TERRESTRIAL AND UAV IMAGES
photogrammetry data fusion terrestrial images UAV
2019/3/1
The paper presents an innovative approach for improving the orientation results when terrestrial and UAV images are jointly processed. With the existing approaches, the processing of images coming fro...
MODEL FOR LAND COVER ESTIMATION USING UNSUPERVISED MACHINE LEARNING ON GOOGLE MAPS COLOR IMAGES
Unsupervised learning algorithms CORINE nomenclature Google Static Maps API k-means clustering
2019/2/27
Remote sensing data and satellite images are broadly used for land cover information. There are so many challenges to classify pixels on the basis of features and characteristics. Generally it is pixe...
USAGE OF PHOTOGRAMMETRIC PROCESSING OF THERMAL IMAGES FOR CIVIL ENGINEERS
Photogrammetry Thermal imaging Thermal cameras SfM Building inspection
2019/2/27
In climate conditions of the Czech Republic is getting more important to carry out thermal inspection during documentation and inventory of buildings. Capturing and photogrammetric processing of therm...
PARTICLE SWARM OPTIMIZATION BASED APPROACH TO ESTIMATE EPIPOLAR GEOMETRY FOR REMOTELY SENSED STEREO IMAGES
Fundamental Matrix Particle Swarm Optimization Epipolar Geometry Remote Sensing Random Sample Consensus Stereo Vision
2019/2/27
A novel particle swarm optimization based approach for the estimation of epipolar geometry for remotely sensed images is proposed and implemented in this work. In stereo vision, epipolar geometry is d...
ROAD EXTRACTION TECHNIQUES FROM REMOTE SENSING IMAGES: A REVIEW
Remote Sensing Image Classification Road Extraction Road Feature
2018/11/9
The importance of analysis high resolution satellite imagery plays an important research topic for geographical information analysis of cities. Geospatial data plays an important role in important iss...
BUILDING CLASSIFICATION OF VHR AIRBORNE STEREO IMAGES USING FULLY CONVOLUTIONAL NETWORKS AND FREE TRAINING SAMPLES
Building Classification VHR Airborne Stereo Images FCN Base Map Mislabels Free Training Samples Fine Tuning Atrous Convolution
2018/11/9
Semantic segmentation, especially for buildings, from the very high resolution (VHR) airborne images is an important task in urban mapping applications. Nowadays, the deep learning has significantly i...
THE USE OF THE UAV IMAGES FOR THE BUILDING 3D MODEL GENERATION
UAV photogrammetry oblique images SfM open source VisualSfM
2018/11/8
The growing interest in recent years in Unmanned Aerial Vehicles (UAVs) by the scientific community, software developers, and geomatics professionals, has led these systems to be used more and more wi...