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The traditional methods of detecting oil depots usually use Hough transform and template matching, which often have lower detection rates and are difficult to implement. An efficient two-step detection framework is proposed in this paper to detect oil depots in high resolution remote sensing images. In the first stage, LC saliency model is used to detect the salient regions and shows a good performance...
Runway is the most significant sign of airport because of its obvious line and edge features, so traditional methods always use the Hough transform to accomplish the detection. Given the problems that Hough transform needs to consider a lot of factors which spends a lot of time, and there are any breakpoints in results, an improved algorithm based on Hough transform is proposed. First, using the idea...
In this paper, a new method for road extraction from very high resolution satellite images is introduced. The proposed methodology is based on multiscale analysis of the image through beamlet transform that can approximate edges of an image by means of line segments appearing at different resolution scales. The hypothesis of the membership of these segments to a road is verified by identification...
Image registration is one of the crucial steps in the analysis of remotely sensed data. A new acquired image must be transformed, using image registration techniques, to match the orientation and scale of the related reference images. Image registration requires intensive computational effort not only because of its computational complexity, but also due to the continuous increase in image resolution...
The building detection is one of the most challenging issues in remote sensing image processing. In this paper, a novel approach for building detection using corner detection, segmentation and adaptive windowed Hough Transform is presented. In the first, the Mean shift segmentation is used to split the image into a numbers of classes. In the second step, the scale invariant feature transform (SIFT)...
According to the drawback of the traditional circle target extraction algorithm from high resolution remote sensing imagery used by Hough Transform, such as computation complexity, low efficiency and etc, a new circle target extraction method is proposed in this paper which can extract multiple circle targets with different radius at one time. First, the Average Absolute Difference is implemented...
Concept and method of energy-morphological operations are simply expounded. The paper studies properties in hyper-spectral remote sensing data. The optimal bands are obtained by the correlation and information quantity, then gradient and edge are acquired by energy-morphological function, and then we can gain image constructed by gradients map overlaying edge map. Finally, by local minima values and...
Road extraction has become an important topic in remote sensing image processing. As a linear target, road has a simple geometric appearance and can be well represented by the Nonsubsampled Contourlet Transform (NSCT). This paper proposed a new road extraction method, which exploits the directional prior of the road in NSCT domain. Road prior includes not only the directional features, but also the...
This paper presents a combined bottom-up and top-down approach to 3D roof plane detection and segmentation from laser scanning point clouds. Laser scanning data of city scenes often shows noise and incompleteness because of, e.g., the clutter by trees and the reflection of windows/waterlogged depressions on the roof. Results of the bottom-up plane reconstruction may thus be limited to a number of...
This paper suggests an improved segmentation of remote sensing images based on watershed algorithm to reduce the over-segmentation of the watershed transform. Taking into the characteristics of remote sensing, remote sensing images were filtered using a fast peer group filtering (PGF). Then do watershed transform on the multi-scale morphological gradient image and merge regions by grey similarity...
Several widely used fusion methods may not be satisfactory to merge a high-resolution panchromatic image and low-resolution multi-spectral images because they can distort the spectral characteristics of the multi-spectral image or worsen the spatial resolution of the panchromatic image. In this paper, a fusion algorithm for multi-spectral and panchromatic images based on region correlation coefficient...
Automatic ship detection from remote sensing imagery has many applications, such as maritime security, traffic surveillance, fisheries management. However, it is still a difficult task for noise and distractors. This paper is concerned with perceptual organization, which detect salient convex structures of ships from noisy images. Because the line segments of contour of ships compose a convex set,...
A segmentation method based on texture gradient is proposed for the high resolution remote sensing images which have rich texture information. First, Nonsubsampled Contourlet Transform is used to extract texture features. Second, texture gradient is calculated, and then it is combined with the intensity gradient to get the final gradient. At last, the labeling watershed algorithm is used in segmentation...
The availability of high-resolution (HR) remote sensing multispectral imagery brings opportunities and challenges for land cover/use classification. Combination of pixel based spatial feature extraction with spectral feature and region based image classification both are strategies applying to the challenges. However, it is still opening question which strategies can provide higher classification...
Image Fusion is the basic way to complement the panchromatic bands which occupies precise spatial resolution with the multi-spectral bands which contains abundant spectral details. By the courtesy of rapid development of remote sensing techniques, to the same area, there are lots of images with different spatial and spectral resolutions, which boost the necessity of image fusion. There have been various...
Compared with traditional images, high-resolution images obtained by unmanned aerial vehicles (UAV) are superior in many aspects such as low cost, convenience and so on. However, the attitude of unmanned aerial vehicles cannot be determined accurately, which will lead to the decrease of accuracy and efficiency of automatic matching, so image preprocessing should be done to guarantee enough degree...
In this paper, a semi-automatic road extraction algorithm is proposed. The algorithm starts from a Euclidean distance transform to convert the original remote sensing image into a distance image, which presents all roads in the darker color and can be used as the input image for further process. Then, the contrast of the distance image is enhanced and the skeletons of roads are found. Following these...
The proposed method provides novel tradeoff solution to preserve spectral as well as spatial quality using fuzzy logic. It combines match measure, region based approach and fuzzy logic to produce quality pan sharp image. Standard pan-sharpening methods do not allow control of the spatial and spectral quality of the pan sharp image. Sugeno integral fuzzy logic model allows us to blend the benefits...
This paper analyses the visual characteristics of ground buildings in high resolution SAR images: the L-shaped echoes resulted from layer over and corner reflection effects give expression to the information of location and height of buildings. Therefore, to vectorize the L-shaped outline of the buildings has a great value in the field of city mapping. Focusing on L-shaped echoes, this paper investigates...
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