搜索结果: 1-15 共查到“摄影测量与遥感技术 NEURAL NETWORKS”相关记录25条 . 查询时间(0.109 秒)
MULTI-TEMPORAL LAND COVER CLASSIFICATION WITH LONG SHORT-TERM MEMORY NEURAL NETWORKS
Long Short-Term Memory Recurrent Neural Networks Sentinel 2 Crop Identification Deep Learning Land Cover Classification
2017/7/13
Land cover classification (LCC) is a central and wide field of research in earth observation and has already put forth a variety of classification techniques. Many approaches are based on classificati...
Learning Oriented Region-based Convolutional Neural Networks for Building Detection in Satellite Remote Sensing Images
VGG Building detection Deep learning OR-CNN Satellite remote sensing images
2017/7/13
The automated building detection in aerial images is a fundamental problem encountered in aerial and satellite images analysis. Recently, thanks to the advances in feature descriptions, Region-based C...
CLASSIFICATION OF URBAN AERIAL DATA BASED ON PIXEL LABELLING WITH DEEP CONVOLUTIONAL NEURAL NETWORKS AND LOGISTIC REGRESSION
aerial data urban areas evidence combination object classification deep feature learning
2016/11/23
The recent success of deep convolutional neural networks (CNN) on a large number of applications can be attributed to large amounts of available training data and increasing computing power. In this p...
KNOWLEDGE BASED 3D BUILDING MODEL RECOGNITION USING CONVOLUTIONAL NEURAL NETWORKS FROM LIDAR AND AERIAL IMAGERIES
Deep Learning Convolutional Neural Network Pattern Recognition LiDAR 3D Building Model
2016/7/28
In recent years, with the development of the high resolution data acquisition technologies, many different approaches and algorithms have been presented to extract the accurate and timely updated 3D m...
SINGLE-IMAGE SUPER RESOLUTION FOR MULTISPECTRAL REMOTE SENSING DATA USING CONVOLUTIONAL NEURAL NETWORKS
Single-Image Super Resolution Deep Learning Convolutional Neural Networks Sentinel-2
2016/7/28
In optical remote sensing, spatial resolution of images is crucial for numerous applications. Space-borne systems are most likely to be affected by a lack of spatial resolution, due to their natural d...
COMPARATIVE RESEARCHES ON PROBABILISTIC NEURAL NETWORKS AND MULTI-LAYER PERCEPTRON NETWORKS FOR REMOTE SENSING IMAGE SEGMENTATION
Remote sensing Segmentation Probabilistic Neural Networks (PNNs) Multi-Layer Perception Networks (MLPNs)
2016/3/17
Image segmentation is one of the most important methods for extracting information of interest from remote sensing image data, but it still remains some problems, leading to low quality segmentation. ...
Classification of Polarimetric SAR Data by Complex Valued Neural Networks
PolSAR classification machine learning complex valued neural networks
2016/1/25
In the last decades it often has been shown that Multilayer Perceptrons (MLPs) are powerful function approximators. They were
successfully applied to a lot of different classification problems. Howev...
USE OF NEURAL NETWORKS FOR LAND COVER CLASSIFICATION FROM REMOTELY SENSED IMAGERY
Land Cover Classification Neural Networks Topology Activation Function Neural Training Accuracy
2015/12/31
Remote sensing has been increasingly used to derive land cover information by manual interpretation or automated classification. As promising automated classifiers, artificial neural networks are diff...
Neural Networks in the Automation of Photogrammetric Processes
Photogrammetry Automation Correlation Extraction Recognition Neural
2015/12/16
The concept of research was based on the selection of several representations, which later were correlated by means of classic, and neural methods. In the course of research, classic methods of image ...
Calibration of a Digital Single Lens Reflex (SLR) Camera Using Artificial Neural Networks
Camera Calibration SLR Camera Lens Distortion
2015/12/14
The use of non-metric digital cameras in close-range photogrammetric applications and machine vision has become a popular
research agenda. Being an essential component of photogrammetric evaluation, ...
AUTOMATIC SHIP DETECTION IN SINGLE-POL SAR IMAGES USING TEXTURE FEATURES IN ARTIFICIAL NEURAL NETWORKS
Ship detection texture feature neural network sentinel SAR
2016/1/15
This paper presents a novel method for detecting ships from high-resolution synthetic aperture radar (SAR) images. This method categorizes ship targets from single-pol SAR images using texture feature...
Automated Building Extraction from High-Resolution Satellite Imagery Using Spectral and Structural Information Based on Artificial Neural Networks
building extraction artificial neural networks learning C# programming environment
2015/9/17
Automatic building extraction remains an open research area in digital photogrammetry. While many algorithms have been proposed for building extraction, none of them solve the problem completely. This...
REDUCTION OF GPS STANDARD RECEIVERS NOISE USING PARALLEL-STRUCTURE WAVELET BASED NEURAL NETWORKS
Reduction Noise GPS Parallel-Structure Wavelet Neural Networks
2015/8/10
Position information obtained from standard GPS receivers is known to be corrupted with noise. To make effective use of GPS information in a navigation system it is essential to model this noise and t...
A USER-FRIENDLY AUTOMATIC TOOL FOR IMAGE CLASSIFICATION BASED ON NEURAL NETWORKS
Neural networks automatic classification image processing
2015/8/3
In this paper the implementation and the functionality of software created on the basis of neural networks technology is explained.The program developed allows the user to read an image, to create and...
URBAN GROWTH SIMULATION USING REMOTE SENSING IMAGERY AND NEURAL NETWORKS
Urban growth Registration Fusion Classification Simulation Neural Network
2015/8/3
This paper presents a methodology for simulating urban growth phenomenon through utilizing remote sensing imagery and neural network (NN) algorithms. Historical satellite images of Indianapolis city, ...
