Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Constructing Forest Biomass Prediction Maps from Radar Backscatter by
  Sequential Regression with a Conditional Generative Adversarial Network   This paper studies construction of above-ground biomass (AGB) prediction maps
from synthetic aperture radar (SAR) intensity images. The purpose is to improve
traditional regression models based on SAR intensity, trained with a limited
amount of AGB in situ measurements. Although it is costly to collect, data from
airborne laser scanning (ALS) sensors are highly correlated with AGB.
Therefore, we propose using AGB predictions based on ALS data as surrogate
response variables for SAR data in a sequential modelling fashion. This
increases the amount of training data dramatically. To model the regression
function between SAR intensity and ALS-predicted AGB we propose to utilise a
conditional generative adversarial network (cGAN), i.e. the Pix2Pix
convolutional neural network. This enables the recreation of existing ALS-based
AGB prediction maps. The generated synthesised ALS-based AGB predictions are
evaluated qualitatively and quantitatively against ALS-based AGB predictions
retrieved from a traditional non-sequential regression model trained in the
same area. Results show that the proposed architecture manages to capture
characteristics of the actual data. This suggests that the use of ALS-guided
generative models is a promising avenue for AGB prediction from SAR intensity.
Further research on this area has the potential of providing both large-scale
and low-cost predictions of AGB.

17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
5
The categories of this paper are: gr-qc
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
19
The categories of this paper are: eess