The purpose of the project described in this paper was to perform sensitivity analysis on the 224 bands collected by the Advanced Very High Resolution Imaging Spectrometer (AVIRIS) sensor. The sensitivity analysis was conducted utilizing artificial neural network technology. A baseline was established by performing partial training of a neural network using the equivalent six non-thermal TM ban...

In this paper, we perform multi-sensor multi-resolution data fusion of Landsat-5 TM bands (at 30 m spatial resolution) and multispectral bands of World View-2 (WV-2 at 2 m spatial resolution) through linear spectral unmixing model. The advantages of fusing Landsat and WV-2 data are two fold: first, spatial resolution of the Landsat bands increases to WV-2 resolution. Second, integration of data...

Glacier albedo determines the net shortwave radiation absorbed at glacier surface and plays a crucial role in energy mass balance. Remote sensing techniques are efficient means to retrieve over large inaccessible areas study its variability. However, corrections of anisotropic reflectance have been established for specific bands only, such as Landsat 5 Thematic Mapper (L5/TM) band 2 4, which is...

Remote sensing has more advantages than the traditional methods of land surface water (LSW) mapping because it is a low-cost, reliable information source that is capable of making high-frequency and repeatable observations. The normalized difference water indexes (NDWIs), calculated from various band combinations (green, near-infrared (NIR), or shortwave-infrared (SWIR)), have been successfully...

We extend an effective field theory developed to describe rotational bands in even-even nuclei the odd-mass case. This organizes Bohr and Mottelson's treatment of a particle coupled rotor as model-independent expansion powers angular velocity overall system. carry out this up fourth order present results for $^{99}\mathrm{Tc}$, $^{159}\mathrm{Dy}$, $^{167,169}\mathrm{Er}$, $^{167,169}\mathrm{Tm...

We introduce TM-NET, a novel deep generative model for synthesizing textured meshes in part-aware manner. Once trained, the network can generate from scratch or predict textures given 3D mesh, without image guidance. Plausible and diverse be generated same mesh part, while texture compatibility between parts shape is achieved via conditional generation. Specifically, our method produces maps in...