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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...
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...
RESEARCH ON HIGH ACCURACY DETECTION OF RED TIDE HYPERSPECRRAL BASED ON DEEP LEARNING CNN
Red Tide CNN Hyperspectral Remote Sensing Glint
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...
THE EARLY DETECTION OF THE EMERALD ASH BORER (EAB) USING MULTI-SOURCE REMOTELY SENSED DATA
Dept. of Earth and Space Science and Engineering Department, York University
2018/5/14
The objectives of this study were to exploit the synergy of hyperspectral imagery, Light Detection And Ranging (LiDAR) and high spatial resolution data and their synergy in the early detection of the ...
NOVEL HYPERSPECTRAL ANOMALY DETECTION METHODS BASED ON UNSUPERVISED NEAREST REGULARIZED SUBSPACE
Anomaly detection Hyperspectral imagery Unsupervised nearest regularized subspace Outlier Removal Local summation Dual-window sliding
2018/5/14
Anomaly detection has been of great interest in hyperspectral imagery analysis. Most conventional anomaly detectors merely take advantage of spectral and spatial information within neighboring pixels....
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...
BUILDING SHADOW DETECTION FROM GHOST IMAGERY
Ghost image Interior and exterior orientation elements Zenith angle of sun Region growing method Urban large-scale aerial imagines
2018/5/17
Shadow is one of the basic features of remote sensing image, it expresses a lot of information of the object which is loss or interference, and the removal of shadow is always a difficult problem to r...
AN INSTANTANEOUS POINT SOURCE DETECTION AND EXTRACTION SYSTEM FOR GEO REMOTE SENSING SATELLITE
Instantaneous Point Source FPGA Remote Sensing Image Reconfigurable
2018/5/14
To accomplish the task of detecting the instantaneous point source, an on-board information real-time processing system is designed which can process the point-source detection with reconfigurable fun...
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...
SALIENCY-GUIDED CHANGE DETECTION OF REMOTELY SENSED IMAGES USING RANDOM FOREST
Remote Sensing Change Detection Segmentation Super-pixel Saliency Random Forest
2018/5/14
Studies based on object-based image analysis (OBIA) representing the paradigm shift in change detection (CD) have achieved remarkable progress in the last decade. Their aim has been developing more in...
ARCHAEOLOGICAL FEATURE DETECTION FROM ARCHIVE AERIAL PHOTOGRAPHY WITH A SFM-MVS AND IMAGE ENHANCEMENT PIPELINE
Archaeology feature detection SfM-MVS image enhancement cultural heritage
2018/6/4
Understanding and protecting cultural heritage involves the detection and long-term documentation of archaeological remains alongside the spatio-temporal analysis of their landscape evolution. Archive...
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...