准备
1，在手机的相机里面设置打开位置信息，然后拍摄一张图片备用。
2，将手机拍摄的图片上传到电脑上面，需要注意的是微信，QQ接收的话需要先压缩图片然后在发送（防止图片信息发生变化）。
3，创建springboot项目，jdk8，idea，电脑联网状态（这里解析经纬度是通过百度的api）。
直接上代码
依赖引入

<dependency><groupId>com.drewnoakes</groupId><artifactId>metadata-extractor</artifactId><version>2.16.0</version>
</dependency>
<dependency><groupId>com.alibaba</groupId><artifactId>fastjson</artifactId><version>1.2.53</version>
</dependency>
<dependency><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId><version>1.16.10</version><scope>provided</scope>
</dependency>

GpsUtile工具类
经纬度格式化

/*** @author lipeng* @date 2021/11/4 10:56*/
public class GpsUtil {/*** 经纬度格式  转换为  度分秒格式** @param point 坐标点* @return duStr*/public static String pointToLatlong(String point) {Double du = Double.parseDouble(point.substring(0, point.indexOf("°")).trim());Double fen = Double.parseDouble(point.substring(point.indexOf("°") + 1, point.indexOf("'")).trim());Double miao = Double.parseDouble(point.substring(point.indexOf("'") + 1, point.indexOf("\"")).trim());Double duStr = du + fen / 60 + miao / 60 / 60;return duStr.toString();}/**** 经纬度坐标格式转换（* °转十进制格式）* @param gps* @return gps_dou*/public static double latLng2Decimal(String gps) {String a = gps.split("°")[0].replace(" ", "");String b = gps.split("°")[1].split("'")[0].replace(" ", "");String c = gps.split("°")[1].split("'")[1].replace(" ", "").replace("\"", "");double gps_dou = Double.parseDouble(a) + Double.parseDouble(b) / 60 + Double.parseDouble(c) / 60 / 60;return gps_dou;}
}

ImgUtil类
文件详细信息读取
经纬度解析成详细地址

import com.alibaba.fastjson.JSONObject;
import com.drew.imaging.ImageMetadataReader;
import com.drew.imaging.ImageProcessingException;
import com.drew.metadata.Directory;
import com.drew.metadata.Metadata;
import com.drew.metadata.Tag;
import java.io.File;
import java.io.IOException;
import java.net.URL;
import java.util.HashMap;
import java.util.Map;
/*** @author lipeng* @date 2021/11/4 10:26*/
public class ImgUtil {// 读取图片的全部信息public static void readImgAll(File file) throws ImageProcessingException, IOException {Metadata metadata = ImageMetadataReader.readMetadata(file);System.out.println("---打印全部详情---");for (Directory directory : metadata.getDirectories()) {for (Tag tag : directory.getTags()) {System.out.format("[%s] - %s = %s\n",directory.getName(), tag.getTagName(), tag.getDescription());}if (directory.hasErrors()) {for (String error : directory.getErrors()) {System.err.format("ERROR: %s", error);}}}}// 读取图片的常用信息,并将信息封装到集合里面public static Map readImgNormal(File file) throws ImageProcessingException, IOException {Metadata metadata = ImageMetadataReader.readMetadata(file);Map<String,String> map = new HashMap<>();for (Directory directory : metadata.getDirectories()) {for (Tag tag : directory.getTags()) {String tagName = tag.getTagName();  //标签名String desc = tag.getDescription(); //标签信息if (tagName.equals("Image Height")) {map.put("imgHeigh" , desc);} else if (tagName.equals("Image Width")) {map.put("imgWeith" , desc);} else if (tagName.equals("Date/Time Original")) {map.put("time" , desc);} else if (tagName.equals("GPS Latitude")) {map.put("lat" , GpsUtil.pointToLatlong(desc));} else if (tagName.equals("GPS Longitude")) {map.put("log" , GpsUtil.pointToLatlong(desc));}}}return map;}/*** api_key：注册的百度api的key* coords：经纬度坐标* http://api.map.baidu.com/reverse_geocoding/v3/?ak="+api_key+"&output=json&coordtype=wgs84ll&location="+coords* <p>* 经纬度转地址信息** @param lat  维度* @param log 精度* @return add 地址*/public static Map parseAdd(String log, String lat) throws IOException {Map<String,String> adress = new HashMap<>();String apiKey = "YNxcSCAphFvuPD4LwcgWXwC3SEZZc7Ra";//lat 小  log  大//参数解释: 纬度,经度 type 001 (100代表道路，010代表POI，001代表门址，111可以同时显示前三项)String urlString = "http://api.map.baidu.com/reverse_geocoding/v3/?ak=" + apiKey + "&output=json&coordtype=wgs84ll&location=" + (lat + "," + log);String res = "";try {URL url = new URL(urlString);java.net.HttpURLConnection conn = (java.net.HttpURLConnection)url.openConnection();conn.setDoOutput(true);conn.setRequestMethod("POST");java.io.BufferedReader in = new java.io.BufferedReader(new java.io.InputStreamReader(conn.getInputStream(),"UTF-8"));String line;while ((line = in.readLine()) != null) {res += line+"\n";}in.close();} catch (Exception e) {System.out.println("error in wapaction,and e is " + e.getMessage());}JSONObject object = JSONObject.parseObject(res);if (object.containsKey("result")) {JSONObject result = object.getJSONObject("result");if (result.containsKey("addressComponent")) {JSONObject addressObj = object.getJSONObject("result").getJSONObject("addressComponent");adress.put("country", (String) addressObj.get("country"));adress.put("province", (String) addressObj.get("province"));adress.put("city", (String) addressObj.get("city"));adress.put("district", (String) addressObj.get("district"));adress.put("street", (String) addressObj.get("street"));}}else {adress = null;}return adress;}// 将图片里面的经纬度通过百度地图的api解析成详细的地址public static Map parseAddByImg(File file) throws ImageProcessingException, IOException {Map map = readImgNormal(file);String lat = (String) map.get("lat");String log = (String) map.get("log");return parseAdd(log,lat);}
}

测试

import com.drew.imaging.ImageProcessingException;
import com.lp.img_gps.util.ImgUtil;
import org.junit.Test;
import java.io.File;
import java.io.IOException;
import java.util.Map;
/*** @author lipeng* @date 2021/11/4 10:53*/
public class ImgTest {private File file = new File("C:\\Users\\TY\\Desktop\\daskImage\\临时\\test.jpg");@Testpublic void readImgAllTest() throws ImageProcessingException, IOException {ImgUtil.readImgAll(file);}@Testpublic void readImgNormalTest() throws ImageProcessingException, IOException {Map map = ImgUtil.readImgNormal(file);System.out.println(map);}@Testpublic void parseAdd() throws IOException {Map add = ImgUtil.parseAdd("116.3039", "39.97646");System.out.println(add);}@Testpublic void parseAddByImg() throws ImageProcessingException, IOException {Map add = ImgUtil.parseAddByImg(file);System.out.println(add);}
}