Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Visualization techniques for data mining of Latur district satellite
  imagery   This study presents a new visualization tool for classification of satellite
imagery. Visualization of feature space allows exploration of patterns in the
image data and insight into the classification process and related uncertainty.
Visual Data Mining provides added value to image classifications as the user
can be involved in the classification process providing increased confidence in
and understanding of the results. In this study, we present a prototype
visualization tool for visual data mining (VDM) of satellite imagery. The
visualization tool is showcased in a classification study of highresolution
imageries of Latur district in Maharashtra state of India.

5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
16
The categories of this paper are: stat
19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th