REFLECTANCE RECONSTRUCTION OF HYPERSPECTRAL IMAGE BASED ON GAUSSIAN SURFACE FITTING
نویسندگان
چکیده
منابع مشابه
Hyperspectral Images Classification by Combination of Spatial Features Based on Local Surface Fitting and Spectral Features
Hyperspectral sensors are important tools in monitoring the phenomena of the Earth due to the acquisition of a large number of spectral bands. Hyperspectral image classification is one of the most important fields of hyperspectral data processing, and so far there have been many attempts to increase its accuracy. Spatial features are important due to their ability to increase classification acc...
متن کاملRetrieval of Hyperspectral Surface Reflectance Based on Machine Learning
Many methods based on radiative-transfer models and empirical approaches with prior knowledge have been developed for the retrieval of hyperspectral surface reflectance. In this paper, we propose a novel approach for atmospheric correction of hyperspectral images based on machine learning. A support vector machine (SVM) is used for learning to predict the surface reflectance from the preprocess...
متن کاملReflectance Prediction Modelling for Residual-Based Hyperspectral Image Coding
A Hyperspectral (HS) image provides observational powers beyond human vision capability but represents more than 100 times the data compared to a traditional image. To transmit and store the huge volume of an HS image, we argue that a fundamental shift is required from the existing "original pixel intensity"-based coding approaches using traditional image coders (e.g., JPEG2000) to the "residua...
متن کاملHyperspectral Image Compression and Reconstruction Based on Compressed Sensing
According to the characteristics of hyperspectral images, a novel compression and reconstruction algorithm for hyperspectal images based on compressed sensing is proposed. The random measurements of each image and the linear prediction coefficients are made at the encoder, and then transmitted sequentially to the decoder. At the decoder, in terms of apparent correlations between the adjacent sp...
متن کاملImage Denoising Based on the Surface Fitting Strategy
In this work, we propose a surface fitting strategy based on a two-step model to remove noise from digital images. In the first step, we minimize the total variation energy functional of an image by using the projection gradient method in order to obtain the dual variable as the smoothed normal vector. In the second step, we try to find a surface as the recovered image to fit the smoothed norma...
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: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2020
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-xliii-b3-2020-1365-2020