Efficient Dehazing Method for Outdoor and Remote Sensing Images
نویسندگان
چکیده
As an atmospheric phenomenon, haze significantly reduces the visibility of outdoor and remote sensing images. imaging have different mechanisms, existing dehazing methods are hard to be applied for both images In this article, efficient method is proposed which can The has advantages based on image enhancement restoration methods. To address problem inaccurate calculation transmittance in methods, a Gaussian-weighted fusion introduced obtain refined transmittance. addition, solve color distortion after dehazing, unsharp mask used correct dehazed image. Experiments synthetic dataset real show that able dehaze outperforms by visual inspection. On RICE dataset, peak signal-to-noise ratio 27.08 structural similarity 0.94, higher than other
منابع مشابه
Remote Sensing Image Dehazing using Guided Filter
Remote sensing image dehazing is challenging because it is massively ill-posed and the haze is dependent on the unknown depth information. Haze removal based on dark channel prior is effective, and refining the transmission map with Gaussian filter will produce a god result. But need to improve the naturalness and sharpness and effectiveness of images and to remove fine haze . So Proposes new a...
متن کاملAn Automatic Registration Method for AVHRR Remote Sensing Images
Automatic registration is one of the key technologies for remote sensing image processing.Considering the influence of cloud points, the phenomenon of uneven distributed control points and other problems in the process of registration for the widely used AVHRR remote sensing images, an automatic registration method for AVHRR remote sensing images is proposed. In this method, the cloud points ar...
متن کاملSemi-Supervised Classification Method For Hyperspectral Remote Sensing Images
A new approach to the classification of hyperspectral images is proposed. The main problem with supervised methods is that the learning process heavily depends on the quality of the training data set. In remote sensing, the training set is useful only for simultaneous images or for images with the same classes taken under the same conditions; and, even worse, the training set is frequently not ...
متن کاملA Global Optimal Registration Method for Satellite Remote Sensing Images
One of the main obstacles in image registration is the precise estimation of a mapping function that determines geometric transformation between two image coordinate systems. For conventional image registration methods, their registration results are not the global optimal, and accuracy is low because only a few local control points are used for the estimation. In this paper, we develop a globa...
متن کاملHigh Efficient Classification on Remote Sensing Images Based on Svm
Automatic image categorization using low-level features is a challenging research topic in remote sensing application. In this paper, we formulate the image categorization problem as an image texture learning problem by viewing an image as a collection of regions, each obtained from image segmentation. Our approach performs an effective feature mapping through a chosen metric distance function....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
سال: 2023
ISSN: ['2151-1535', '1939-1404']
DOI: https://doi.org/10.1109/jstars.2023.3274779