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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...
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...
DETECTION OF HARBOURS FROM HIGH RESOLUTION REMOTE SENSING IMAGERY VIA SALIENCY ANALYSIS AND FEATURE LEARNING
Harbours Saliency Analysis Feature Learning Fuzzy C-mean Scale-Invariant Feature Transform (SIFT)
2016/11/23
Harbours are very important objects in civil and military fields. To detect them from high resolution remote sensing imagery is important in various fields and also a challenging task. Traditional met...
LAND COVER CHANGE DETECTION USING SALIENCY ANDWAVELET TRANSFORMATION
Change detection Saliency detection Local entropy Wavelet transformation
2016/11/23
How to obtain accurate difference map remains an open challenge in change detection. To tackle this problem, we propose a change detection method based on saliency detection and wavelet transformation...
Visual attention has been widely used in image pre-processing, since it can rapidly detect the region of interest in the given scene.
This paper presents a novel technique to track the moving object,...
SHAPE DETECTION OF STRUCTURAL CHANGES IN LONG TIME-SPAN AERIAL IMAGE SAMPLES BY NEW SALIENCY METHODS
Change detection Saliency points Active Contours Harris corner function Aerial photos
2014/6/12
The paper presents a novel, theoretically well-based methodology to find changes in remote sensing image series. The proposed method finds changes in images scanned with a long time-interv...