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Multitemporal Hyperspectral (HS) images can be used in Change Detection (CD) to identify and discriminate among different kinds of change due to the fine sampling of the spectrum by HS sensors. In this work we propose a novel method for unsupervised multiple CD in multitemporal HS data based on binary Spectral Change Vectors (SCVs) and an agglomerative hierarchical clustering. First, we perform binary...
This paper examines the potential impacts of remote sensing, hyperspectral target detection from a physics-based modeling point of view. Often (atmospherically compensated) data is simply handed off to algorithm developers with the assumption that the data they are given accurately represents what transpired at the time of collection. In this paper, we discuss the various steps involved in processing...
To improve the classification of hyperspectral images, this paper proposes an approach for multi-sensor data fusion of LiDAR and hyperspectral data using extinction profiles and Orthogonal Total Variation Component Analysis (OTVCA). Results on the benchmark Houston data indicate the superior performance of the proposed approach compared to other approaches used in the experiments based on classification...
The added value of multiple data sources on tree species mapping has been widely analyzed. In particular, fusion of hyperspectral (HS) and LiDAR sensors for forest applications is a very hot topic. In this paper, we exploit the use of multi-scale features to fuse HS and LiDAR data for tree species mapping. Hyperspectral data is obtained from the APEX sensor with 286 spectral bands. LiDAR data has...
The fusion of hyperspectral and multispectral images is a crucial task nowadays for it allows the extraction of relevant information from the fused image. Fusion consists of the combination of the spectral information of the hypespectral image (h) and the spatial information of the multispectral image (m). The fused image (f) has both good spatial and spectral information. In this paper we suggest...
Hyperspectral images (HSIs) cover hundreds of narrow spectral bands, thus yielding high spectral resolution, enabling precise identification of different materials. However, the existence of dead pixels in the light sensors produces a number of irrelevant measurements, which may compromise the usefulness of HSIs. In this paper, a new hyperspectral inpainting method, named HyInpaint, is proposed. The...
In recent years, the science of hyperspectral remote sensing has huge development in virtue of the integration of low-cost lightweight hyperspectral sensors and unmanned aerial vehicles (UAVs). As an alternative of manned aircraft, UAV has some unique advantages enabling the researchers acquire the hyperspectral images of their interest area flexibly and promptly. This review focuses on the recent...
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