Hyperspectral (HS) data are proven to be more resourceful compared multispectral (MS) for object detection, classification, and several other applications. However, absence of any space-borne HS sensor since 2017, which can provide open-source with global coverage, high cost limited obtainability airborne sensors-based images limit the use data. Transformation readily available MS into quasi-HS...

Abstract: One experimental area in the city of DaQing in Heilongjiang province is took as an example to perform the quantitative inversion of soil salinity using Hyperion data in this paper. The inversion method of soil salinity using Hyperion data is discussed by the image preprocessing, the feature extraction and the establishment of BP neural network model. It gives a lot of help in soil sur...

This paper describes the implementation of Hyperion, an environment for executing Java programs on clusters of computers. To provide high performance, the environment compiles Java bytecode to native code and supports the concurrent execution of Java threads on multiple nodes of a cluster. The implementation uses the PM2 distributed, multithreaded runtime system. PM2 provides lightweight thread...

Tamarisk (Tamarix spp., saltcedar) is a well-known invasive phreatophyte introduced from Asia to North America in the 1800s. This report compares the efficacy of Landsat 5 Thematic Mapper (TM5), QuickBird (QB) and EO-1 Hyperion data in discriminating tamarisk populations near De Beque, Colorado, USA. As a result of highly correlated reflectance among the spectral bands provided by each sensor, ...

Hyperspectral images provide detailed spectral information with more than several hundred channels. On the other hand, the high dimensionality in hyperspectral images also causes to classification problems due to the huge ratio between the number of training samples and the features. In this paper, Lyapunov Exponents (LEs) are used to determine chaotic-type structure of EO1 Hyperion hyperspectr...

Understanding the dynamics of mangroves at the species level is the key for securing sustainable conservation of mangrove forests around the globe. This study demonstrates the capability of the hyper-dimensional remote sensing data for discriminating diversely-populated tropical mangrove species. It was found that five different tropical mangrove species of Southern Thailand, including Avicenni...