Skip to Content
Deep Learning for Remote Sensing Images with Open Source Software
book

Deep Learning for Remote Sensing Images with Open Source Software

by Rémi Cresson
July 2020
Intermediate to advanced
164 pages
3h 16m
English
CRC Press
Content preview from Deep Learning for Remote Sensing Images with Open Source Software

3

 

Introduction

 

This chapter introduces what we call patch-based classification for land cover mapping. This task consists of classifying image patches of fixed size, and attributing the estimated class to the central pixel of the patch to produce a land cover map. This kind of approach is suitable when the available data is sparsely annotated: the only requirement is the location of patches of which the class is known. Typically, examples of terrain truth allowing this approach can be GPS coordinates associated with land cover class, or manually annotated polygons in GIS, etc. This approach involves deep networks that input a patch of image, and produce a single value that represents the class of this patch: hence training this kind of network ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Subpixel Mapping for Remote Sensing Images

Subpixel Mapping for Remote Sensing Images

Peng Wang, Lei Zhang
Advances in Remote Sensing Technology and the Three Poles

Advances in Remote Sensing Technology and the Three Poles

Manish Pandey, Prem C. Pandey, Yogesh Ray, Aman Arora, Shridhar D. Jawak, Uma K. Shukla

Publisher Resources

ISBN: 9781000093612