Progress in Hyperspectral Remote Sensing Science and Technology in China Over the Past Three Decades

Abstract

This paper reviews progress in hyperspectral remote sensing (HRS) in China, focusing on the past three decades. China has made great achievements since starting in this promising field in the early 1980s. A series of advanced hyperspectral imaging systems ranging from ground to airborne and satellite platforms have been designed, built, and operated. These include the field imaging spectrometer system (FISS), the Modular Airborne Imaging Spectrometer (MAIS), and the Chang'E-I Interferometer Spectrometer (IIM). In addition to developing sensors, Chinese scientists have proposed various novel image processing techniques. Applications of hyperspectral imaging in China have been also performed including mineral exploration in the Qilian Mountains and oil exploration in Xinjiang province. To promote the development of HRS, many generic and professional software tools have been developed. These tools such as the Hyperspectral Image Processing and Analysis System (HIPAS) incorporate a number of special algorithms and features designed to take advantage of the wealth of information contained in HRS data, allowing them to meet the demands of both common users and researchers in the scientific community.

Rolling Guidance Based Scale-Aware Spatial Sparse Unmixing for Hyperspectral Remote Sensing Imagery

“…Since the traditional sparse unmixing problem can be written, as shown in Equation (1), which considers the Abundance Non-negative Constraint (ANC), the spatial sparse unmixing model can be specified as a minimization function and is rewritten, as shown in Equation (2) …”

“…The resulting hyperspectral date cube enables precise material identification with the abundance spectral information, as each pixel can be represented by a spectral signature or fingerprint that characterizes the underling objects [1,2]. However, one of the challenges confronting hyperspectral remote sensing image processing is segmentation, saliency detection, and so on [37][38][39].…”

New hyperspectral difference water index for the extraction of urban water bodies by the use of airborne hyperspectral images

“…It has been applied in the fields of environmental monitoring, geological studies, oil and gas prospecting, vegetation studies, ocean observation, city layout studies, agricultural monitoring, and forest fireproofing. 60 The hyperspectral image was required at about 12:00 a.m. (AE2 h) at a relative flight elevation of about 1500 m, in cloud-free sky, on November 26, 2002. PHI-2 has a field-of-view of 23 deg, with a spatial resolution of 1.5 mrad, and 246 spectral bands covering 400 to 870 nm in wavelength, with a spectral resolution of better than 5 nm in full range.…”

“…PHI-2 has a field-of-view of 23 deg, with a spatial resolution of 1.5 mrad, and 246 spectral bands covering 400 to 870 nm in wavelength, with a spectral resolution of better than 5 nm in full range. 60 The spatial resolution is about 1.5 m (under the plane spot). The spectra were calibrated between the PHI-2 data and the field spectra at the same spots, to eliminate the atmospheric effect, 61 and they were atmospherically corrected in the ENVI QUAC module.…”

Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based NMF

“…Past decades have witnessed the great success of hyperspectral imaging in a wide range of applications, due to its capacity to synchronously acquire both spatial and spectral information [1,2]. In hyperspectral images (HSIs), the spectral vector of each pixel contains hundreds or even thousands of elements, which provides rich spectral information to efficiently identify and distinguish different types of land cover [3].…”