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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...
URBAN BOUNDARY EXTRACTION AND URBAN SPRAWL MEASUREMENT USING HIGH-RESOLUTION REMOTE SENSING IMAGES: A CASE STUDY OF CHINA’S PROVINCIAL
Urban boundary Urban sprawl High-resolusion remote sensing image Provincial capitals
2018/5/15
Urban boundary is an important indicator for urban sprawl analysis. However, methods of urban boundary extraction were inconsistent, and construction land or urban impervious surfaces was usually used...
CHANGE DETECTION IN HIGH-RESOLUTION REMOTE SENSING IMAGES USING LEVENE-TEST AND FUZZY EVALUATION
High-resolution images change detection Levene-Test hue-texture features fuzzy evaluation method
2018/5/15
High-resolution remote sensing images possess complex spatial structure and rich texture information, according to these, this paper presents a new method of change detection based on Levene-Test and ...
CHANGE DETECTION OF HIGH-RESOLUTION REMOTE SENSING IMAGES BASED ON ADAPTIVE FUSION OF MULTIPLE FEATURES
Change Detection Color Gistogram Linear Gradient Histogram EMD distance Histogram Curvature
2018/5/15
In view of the traditional change detection algorithm mainly depends on the spectral information image spot, failed to effectively mining and fusion of multi-image feature detection advantage, the art...
STUDY ON BIG DATABASE CONSTRUCTION AND ITS APPLICATION OF SAMPLE DATA COLLECTED IN CHINA'S FIRST NATIONAL GEOGRAPHIC CONDITIONS CENSUS BASED ON REMOTE SENSING IMAGES
National Geographic Conditions Census Sample Data Big Data Database Distributed File System
2018/5/11
In the project of China's First National Geographic Conditions Census, millions of sample data have been collected all over the country for interpreting land cover based on remote sensing images, the ...
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
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...
POSSIBILITY OF CLOUDLESS OPTICAL REMOTE SENSING IMAGES ACQUISITION STUDY BY USING METEOROLOGICAL SATELLITE OBSERVATIONS
Cloud total amount Cloudless image acquisition Fengyun(FY) satellite Ziyuan-3 (ZY-3) satellite
2018/5/16
Optical remote sensing images have been widely used in feature interpretation and geo-information extraction. All the fundamental applications of optical remote sensing, are greatly influenced by clou...
THE IDENTIFICATION OF LAND UTILIZATION IN COASTAL RECLAMATION AREAS IN TIANJIN USING HIGH RESOLUTION REMOTE SENSING IMAGES
Reclamation High resolution images Object-based classification Decision tree method
2018/5/15
In recent decades, land reclamation activities have been developed rapidly in Chinese coastal regions, especially in Bohai Bay. The land reclamation areas can effectively alleviate the contradiction b...
ESTIMATION OF CARBON SINK IN SURFACE CARBONATE ROCKS OF GUANGXI PROVINCE BY USING REMOTE SENSING IMAGES
Dissolution test method Carbonate rocks Miss carbon sink ArcGIS
2018/5/14
Studies of the imbalance of source sinks in the carbon cycle show that CO2 absorbed during rock weathering is part of the "miss carbon" of the global carbon cycle. The carbon sink contribution of carb...
TARGETS MASK U-NET FOR WIND TURBINES DETECTION IN REMOTE SENSING IMAGES
object detection VHRRSI wind turbines shadow wide-field detector U-Net
2018/5/14
To detect wind turbines precisely and quickly in very high resolution remote sensing images (VHRRSI) we propose target mask U-Net. This convolution neural network (CNN), which is carefully designed to...
STUDY ON LANDSLIDE DISASTER EXTRACTION METHOD BASED ON SPACEBORNE SAR REMOTE SENSING IMAGES – TAKE ALOS PALSAR FOR AN EXAMPLE
SAR Landslide Phase unwrapping InSAR Coherence
2018/5/16
In this paper, sequence ALOS PALSAR data and airborne SAR data of L-band from June 5, 2008 to September 8, 2015 are used. Based on the research of SAR data preprocessing and core algorithms, such as g...
INTELLIGENT DETECTION OF STRUCTURE FROM REMOTE SENSING IMAGES BASED ON DEEP LEARNING METHOD
Remote Sensing Image Land Use Monitoring Deep Learning Neural Network Building
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...
RAPID TARGET DETECTION IN HIGH RESOLUTION REMOTE SENSING IMAGES USING YOLO MODEL
Object Detection High Resolution Remote Sensing Deep learning YOLO
2018/5/16
Object detection in high resolution remote sensing images is a fundamental and challenging problem in the field of remote sensing imagery analysis for civil and military application due to the complex...
CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS
Change Detection Database Deep Convolutional Neural Networks Generative Adversarial Networks
2018/6/4
We present a method for change detection in images using Conditional Adversarial Network approach. The original network architecture based on pix2pix is proposed and evaluated for difference map creat...
A DETECTION METHOD OF ARTIFICIAL AREA FROM HIGH RESOLUTION REMOTE SENSING IMAGES BASED ON MULTI SCALE AND MULTI FEATURE FUSION
Artificial Areas Automatic Detection Geometric Features Visual Saliency Features Multi Scale Feature Fusion
2017/7/12
In order to solve the problem of automatic detection of artificial objects in high resolution remote sensing images, a method for detection of artificial areas in high resolution remote sensing images...