Nick Peihl nickpeihl

How to submit Kibana Vega question

It is usually very difficult to debug Vega questions without having your data. To make it easier, please follow these steps to include data with your graph when posting:

Reduce your data query to the smallest possible dataset, e.g. set the time range to 15 minutes. It will work as long as it is not empty and represents your data well enough.
Open Browser Debugger (for Chrome, right click and click Inspect)
Switch to the Console tab
Copy the right command, paste it in the console at the > symbol and hit enter (check the schema in your graph to see if you use Vega or Vega-Lite)

Pansharpening notes, mid-2021

First posted in August 2021. This is basically a snapshot of my thinking about pansharpening at that time; I’m not making any substantial updates. Last typo and clarity fixes in February 2023.

Preface

This is a collection of notes on how I’ve been approaching convolutional neural networks for pansharpening. It’s an edited version of an e-mail to a friend who had asked about this tweet, so it’s informal and somewhat silly; it’s not as polished as, say, a blog post would be. It’s basically the advice I would give to an image processing hobbyist before they started working on pansharpening.

If you want a more serious introduction, start with the literature review in Learning deep multiresolution representations for pansharpening. Most of the academic work I would recommend is mentioned there.

	# Description: Boxstarter Script
	# Author: Jess Frazelle <[email protected]>
	# Last Updated: 2017-09-11
	#
	# Install boxstarter:
	# . { iwr -useb http://boxstarter.org/bootstrapper.ps1 } \| iex; get-boxstarter -Force
	#
	# You might need to set: Set-ExecutionPolicy RemoteSigned
	#
	# Run this boxstarter by calling the following from an elevated command-prompt:

	{
	$schema: https://vega.github.io/schema/vega/v3.json
	padding: 10
	config: {
	kibana: {tooltips: false}
	}
	signals: [
	{
	name: rotation
	value: 65

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