Skip to search formSkip to main contentSkip to account menu

HyMap

HyMap is an airborne hyperspectral imaging sensor that was developed in Australia and is manufactured by Integrated Spectronics. HyMap data has 126… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Abstract. In this paper, an innovative framework, based on both spectral and spatial information, is proposed. The objective is… 
2015
2015
Mapping soil fertility parameters, such as soil carbon (C), is fundamentally important for forest management and research related… 
2010
2010
The goal of this paper is the presentation of a method and results for artificial neural networks crops classification based on… 
2007
2007
There is a growing body of literature that points to the value of using the intensity measures of the backscattered laser light… 
2005
2005
So far, segmented remotely sensed images can not be processed independent from the software they have been generated in. To… 
2004
2004
In this paper, we propose a kernel-based approach for hyperspectral knowledge discovery, which is defined as a process that… 
2003
2003
This paper presents the results of the preprocessing steps performed on HyMap data which were recorded during the MINEO [1… 
2003
2003
Many algorithms have been developed for supervised hyperspectral classification and spectral mixture analysis predominantly for… 
2001
2001
High spectral-resolution airborne HyMap reflectance data were acquired over the Rio Tinto mines, one of the largest base-metal…