Adaptive spectral representation of remote sensing objects based on endmember matching

Knowledge-based remote sensing of complex objects

Evaluation of Dust Effects on Spectral Behavior of Plants Using Remote Sensing Data

Introduction Dust is one of the important climatic phenomena that has occurred in arid and semi-arid regions of the world. In recent years, one of the most important environmental issues in the Middle East and Iran is the occurrence of dust phenomena that affects a variety of factors, including human health, plants and other living organisms, economic conditions, and etc. One of the effective ...

The Classification Method of Multi-spectral Remote Sensing Images Based on Self-adaptive Minimum Distance Adjustment

The phenomenon of “Same Object with Different Spectra” in the issue of multi-spectral remote sensing images land use classification makes major effects on improving accuracy. The paper based on the analysis of modeling on classification problems, proposed a method based on minimum distance self-adaptive adjustment to realize the split of cluster centers and solved the problem of identified scop...

Remote sensing of vegetation based on canopy spectral invariants

The concept of canopy spectral invariants states that simple algebraic combinations of leaf and canopy spectral transmittance and reflectance become wavelength independent and determine a small set of canopy structure specific variables. This set of structural variables specify the spectral response of a vegetation canopy to the incident solar radiation and allow for a simple and accurate param...

An Endmember Extraction Method Based on Artificial Bee Colony Algorithms for Hyperspectral Remote Sensing Images

Mixed pixels are common in hyperspectral remote sensing images. Endmember extraction is a key step in spectral unmixing. The linear spectral mixture model (LSMM) constitutes a geometric approach that is commonly used for this purpose. This paper introduces the use of artificial bee colony (ABC) algorithms for spectral unmixing. First, the objective function of the external minimum volume model ...