OPTICAL REMOTE SENSING IMAGE OPTIMIZED DEHAZING ALGORITHM BASED ON HOT
نویسندگان
چکیده
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 کاملSingle Image Dehazing Algorithm Based on Dark Channel Prior and Inverse Image
The sky regions of foggy image processed by all the existing conventional dehazing methods are degraded by color distortion and severe noise. This paper proposes an improved algorithm which combines dark channel prior and inverse image. We first invert the foggy image, and then estimate the transmission of the inverse image. At last, compared with the non-inversed transmission, the larger value...
متن کاملResearch on Remote Sensing Image Fusion Algorithm Based on Compressed Sensing
The traditional image fusion algorithm completed the fusion based on all pixel information. The time and space requirements are higher. The improved fusion algorithm used the theory of compressed sensing (CS) for the processing of remote sensing image fusion. Firstly, the source images using wavelet transform for sparse representation, then, the improved fusion algorithm used the observation ma...
متن کاملStudy on the Super-resolution Reconstruction Algorithm for Remote Sensing Image Based on Compressed Sensing
Image super resolution reconstruction has important significance in remote sensing image feature extraction and classification etc.. Because the remote sensing image size is larger, it is difficult to super resolution reconstruction using multiple images, the compressed sensing (CS) theory was introduced into the super-resolution reconstruction. Algorithm designed the low pass filter to reduce ...
متن کاملDWT Based MMRF Segmentation Algorithm for Remote Sensing Image Processing
Image segmentation is very important for pattern recognition, ROI compression and information collection in remote sensing studies. In this paper, we propose an efficient image segmentation algorithm by using the Discrete Wavelet Frame Transform (DWFT) and Multiresolution Markov Random Field (MMRF). This algorithm avoids the over-segmentation that is common in other segmentation algorithms. Our...
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: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2016
ISSN: 2194-9034
DOI: 10.5194/isprsarchives-xli-b3-797-2016