deeppop.github.io/index.html at master · deeppop/deeppop.github.io · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
<!DOCTYPE html>
<html lang="en">

  <head>

    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
    <meta name="description" content="">
    <meta name="author" content="">

    <title>Deep Population</title>

    <!-- Bootstrap core CSS -->
    <link href="vendor/bootstrap/css/bootstrap.min.css" rel="stylesheet">

    <!-- Custom fonts for this template -->
    <link href="vendor/font-awesome/css/font-awesome.min.css" rel="stylesheet" type="text/css">
    <link href='https://fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800' rel='stylesheet' type='text/css'>
    <link href='https://fonts.googleapis.com/css?family=Merriweather:400,300,300italic,400italic,700,700italic,900,900italic' rel='stylesheet' type='text/css'>

    <!-- Plugin CSS -->
    <link href="vendor/magnific-popup/magnific-popup.css" rel="stylesheet">

    <!-- Custom styles for this template -->
    <link href="css/creative.css" rel="stylesheet">

    <!-- Favicon -->
    <link rel="shortcut icon" type="image/x-icon" href="favicon.ico">

    <!-- Font Awesome -->
    <script src="https://use.fontawesome.com/e40169fb5d.js"></script>

    <!-- Global site tag (gtag.js) - Google Analytics -->
    <script async src="https://www.googletagmanager.com/gtag/js?id=UA-52618525-3"></script>
    <script>
      window.dataLayer = window.dataLayer || [];
      function gtag(){dataLayer.push(arguments);}
      gtag('js', new Date());

      gtag('config', 'UA-52618525-3');
    </script>


  </head>

  <body id="page-top">

    <!-- Navigation -->
    <nav class="navbar navbar-expand-lg navbar-light fixed-top" id="mainNav">
      <div class="container">
        <a class="navbar-brand js-scroll-trigger" href="#page-top">Deep Population</a>
        <button class="navbar-toggler navbar-toggler-right" type="button" data-toggle="collapse" data-target="#navbarResponsive" aria-controls="navbarResponsive" aria-expanded="false" aria-label="Toggle navigation">
          <span class="navbar-toggler-icon"></span>
        </button>
        <div class="collapse navbar-collapse" id="navbarResponsive">
          <ul class="navbar-nav ml-auto">
            <li class="nav-item">
              <a class="nav-link js-scroll-trigger" href="#about">About</a>
            </li>
            <li class="nav-item">
              <a class="nav-link js-scroll-trigger" href="#publications">Publications</a>
            </li>
            <li class="nav-item">
              <a class="nav-link js-scroll-trigger" href="#team">Team</a>
            </li>
          </ul>
        </div>
      </div>
    </nav>

    <header class="masthead text-center text-white d-flex">
      <div class="container my-auto">
        <div class="row">
          <div class="col-lg-10 mx-auto">
            <h1 class="text-uppercase">
              <strong>Deep Population</strong>
            </h1>
            <hr style="border-color: #ffffff;">
          </div>
          <div class="col-lg-8 mx-auto">
            <p class="text-faded mb-5">
              <span style="font-size:24px;">Deep Learning Approach for Population Estimation<br>from Satellite Imagery</span>
              <br>
              <br>
              <a class="ms-award" href="https://www.microsoft.com/en-us/aiforearth"><i class="fa fa-trophy" aria-hidden="true"></i> &nbsp;Microsoft AI for Earth Awardee</a>
            </p>
            <!-- <a class="btn btn-primary btn-xl js-scroll-trigger" href="#about">Find Out More</a> -->
          </div>
        </div>
      </div>
    </header>

    <section class="bg-primary" id="about">
      <div class="container">

        <div class="row">
          <div class="col-lg-8 mx-auto text-center">
              <h2 class="section-heading text-white text-center">About</h2>
              <hr class="light my-4">
          </div>
        </div>

        <div class="row">
          <div class="col-lg-6 mx-auto text-left mt-3">
            <p class="text-faded-2">
              Knowing where people live is a fundamental component of many decision making processes such as urban development, infectious disease containment, evacuation planning, risk management, conservation planning, and more.
            </p>
            <p class="text-faded-2">
                To jointly answer the questions of “where do people live” and “how many people live there,” we propose a deep learning model for creating high-resolution population estimations from satellite imagery. Specifically, we train convolutional neural networks to predict population in the USA at a 0.01° x 0.01° resolution grid from 1-year composite Landsat imagery.
            </p>
            <p class="text-faded-2">
              We find that aggregating our model’s estimates gives comparable results to the Census county-level population projections and that the predictions made by our model can be directly interpreted, which give it advantages over traditional population disaggregationmethods.
            </p>
            <p class="text-faded-2">
                In general, our model is an example of how machine learning techniques can be an effective tool for extracting information from inherently unstructured, remotely sensed data to provide effective solutions to social problems.
            </p>
          </div>

          <div class="col-lg-6 ml-auto text-center">
            <a href="resources/robinson2017-deeppop.pdf" target="_blank">
              <img src="img/class-images-website.png" style="width: 100%;" class="mb-3 sr-contact">
            </a>
            <b class="text-faded text-center small">
              One of the results from "A Deep Learning Approach for Population Estimation from Satellite Imagery". This figure shows the images from the testing, unseen, data that are most confidently classified
              by our model. Notice the types of images that appear from left (roads, few people) to right (buildings, many people) indicate
              that our deep learning model is learning semantically-relevant features from satellite imagery.
            </b>
          </div>
        </div>

      </div>
    </section>

    <section id="publications">
      <div class="container">

        <div class="row">
          <div class="col-lg-8 mx-auto text-center">
            <h2 class="section-heading">Publications</h2>
            <hr class="my-4">
          </div>
        </div>

        <div class="row">

          <div class="col-lg-3 ml-auto text-center">
            <a href="resources/robinson2017-deeppop.pdf" target="_blank">
              <img src="img/17-deeppop-sigspatial.png" style="width:100%; border:1px solid #cccccc;" class="sr-contact">
            </a>
          </div>

          <div class="col-lg-8 mr-auto text-center">
            <p class="mt-5 text-left">
              <b>A Deep Learning Approach for Population Estimation from Satellite Imagery</b><br>
              Caleb Robinson, Fred Hohman, Bistra Dilkina<br>
              <i>1st ACM SIGSPATIAL Workshop on Geospatial Humanities. Nov 7, 2017. Redondo Beach, USA.</i>
            </p>
            <p class="text-left">
              <a href="resources/robinson2017-deeppop.pdf" target="_blank">PDF</a> |
              <a href="resources/robinson2017-deeppop-slides.pdf" target="_blank">Slides</a> |
              <a href="resources/robinson2017-deeppop.bib" target="_blank">Bibtex</a>
            </p>
          </div>

        </div>
      </div> <!-- End container -->
    </section>

    <section id="team" class="bg-secondary">

      <div class="container">
        <div class="row">
          <div class="col-lg-12 text-center">
            <h2 class="section-heading">Our Team</h2>
            <hr class="my-4">
          </div>
        </div>
      </div>

      <div class="container">
        <div class="row">
          <div class="col-lg-3 col-md-6 text-center">
            <div class="service-box mt-5 mx-auto">
              <a href="http://calebrob.com/" target="_blank"><img src="img/caleb.png" class="mb-3" style="width:90%;"></a>
              <a href="http://calebrob.com/" target="_blank"><h3 class="mb-3">Caleb Robinson</h3></a>
              <p class="text-muted mb-0">
                PhD Student
                <br>
                dcrobins@gatech.edu
              </p>
            </div>
          </div>
          <div class="col-lg-3 col-md-6 text-center">
            <div class="service-box mt-5 mx-auto">
              <a href="http://fredhohman.com" target="_blank"><img src="img/fred.png" class="mb-3" style="width:90%;"></a>
              <a href="http://fredhohman.com" target="_blank"><h3 class="mb-3">Fred Hohman</h3></a>
              <p class="text-muted mb-0">
                PhD Student
                <br>
                fredhohman@gatech.edu
              </p>
            </div>
          </div>
          <div class="col-lg-3 col-md-6 text-center">
            <div class="service-box mt-5 mx-auto">
              <a href="https://www.cc.gatech.edu/~bdilkina/" target="_blank"><img src="img/bistra.png" class="mb-3" style="width:90%;"></a>
              <a href="https://www.cc.gatech.edu/~bdilkina/" target="_blank"><h3 class="mb-3">Bistra Dilkina</h3></a>
              <p class="text-muted mb-0">
                Assistant Professor
                <br>
                bdilkina@gatech.edu
              </p>
            </div>
          </div>
          <div class="col-lg-3 col-md-6 text-center">
            <div class="service-box mt-5 mx-auto">
              <a href="https://www.cc.gatech.edu/~dchau" target="_blank"><img src="img/polo.png" class="mb-3" style="width:90%;"></a>
              <a href="https://www.cc.gatech.edu/~dchau/" target="_blank"><h3 class="mb-3">Polo Chau</h3></a>
              <p class="text-muted mb-0">
                Assistant Professor
                <br>
                polo@gatech.edu
              </p>
            </div>
          </div>
        </div>
      </div>

      <div class="container mt-5 pt-5">
        <div class="row">
          <div class="col-lg-4 text-center">
            <img src="img/logos/gatech.png" style="width:75%">
          </div>
          <div class="col-lg-4 text-center">
            <img src="img/logos/nsf.png" style="width:40%">
          </div>
          <div class="col-lg-4 text-center">
            <img src="img/logos/microsoft.png" style="width:90%">
          </div>
        </div>
      </div>

    </section>

    <!-- Bootstrap core JavaScript -->
    <script src="vendor/jquery/jquery.min.js"></script>
    <script src="vendor/bootstrap/js/bootstrap.bundle.min.js"></script>

    <!-- Plugin JavaScript -->
    <script src="vendor/jquery-easing/jquery.easing.min.js"></script>
    <script src="vendor/scrollreveal/scrollreveal.min.js"></script>
    <script src="vendor/magnific-popup/jquery.magnific-popup.min.js"></script>

    <!-- Custom scripts for this template -->
    <script src="js/creative.min.js"></script>

  </body>

</html>