搜索结果: 1-6 共查到“测绘科学技术 deep learning”相关记录6条 . 查询时间(0.101 秒)
A COARSE-TO-FINE MODEL FOR AIRPLANE DETECTION FROM LARGE REMOTE SENSING IMAGES USING SALIENCY MODLE AND DEEP LEARNING
Airplane Detection Large-Scale Optical Remote Sensing Image Object of Interes Saliency Detection Single Neural Network
font style='font-size:12px;'>
2018/5/15
High resolution remote sensing images are bearing the important strategic information, especially finding some time-sensitive-targets quickly, like airplanes, ships, and cars. Most of time the problem...
RESEARCH ON HIGH ACCURACY DETECTION OF RED TIDE HYPERSPECRRAL BASED ON DEEP LEARNING CNN
Red Tide CNN Hyperspectral Remote Sensing Glint
font style='font-size:12px;'>
2018/5/14
Increasing frequency in red tide outbreaks has been reported around the world. It is of great concern due to not only their adverse effects on human health and marine organisms, but also their impacts...
INTELLIGENT DETECTION OF STRUCTURE FROM REMOTE SENSING IMAGES BASED ON DEEP LEARNING METHOD
Remote Sensing Image Land Use Monitoring Deep Learning Neural Network Building
font style='font-size:12px;'>
2018/5/16
Utilizing high-resolution remote sensing images for earth observation has become the common method of land use monitoring. It requires great human participation when dealing with traditional image int...
OBJECT DETECTION FROM MMS IMAGERY USING DEEP LEARNING FOR GENERATION OF ROAD ORTHOPHOTOS
Object detection Vehicle and its shadow detection Deep learning Faster R-CNN Road orthophoto Mobile mapping system
font style='font-size:12px;'>
2018/6/4
In recent years, extensive research has been conducted to automatically generate high-accuracy and high-precision road orthophotos using images and laser point cloud data acquired from a mobile mappin...
MANHOLE COVER LOCALIZATION IN AERIAL IMAGES WITH A DEEP LEARNING APPROACH
Deep learning high resolution imagery urban object detection Convolutional Neural Network
font style='font-size:12px;'>
2017/7/12
Urban growth is an ongoing trend and one of its direct consequences is the development of buried utility networks. Locating these networks is becoming a challenging task. While the labeling of large o...
ROOF TYPE SELECTION BASED ON PATCH-BASED CLASSIFICATION USING DEEP LEARNING FOR HIGH RESOLUTION SATELLITE IMAGERY
Roof Reconstruction High Resolution Satellite Imagery Deep Learning Method Convolutional Neural Networks
font style='font-size:12px;'>
2017/7/13
3D building reconstruction from remote sensing image data from satellites is still an active research topic and very valuable for 3D city modelling. The roof model is the most important component to r...